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  • 1. Engelke, Ulrich
    et al.
    Rossholm, Andreas
    Zepernick, Hans-Jürgen
    Lövström, Benny
    Quality Assessment of an Adaptive Filter for Artifact Reduction in Mobile Video Sequences2007Conference paper (Refereed)
    Abstract [en]

    In this paper, we examine an adaptive deblocking deringing filter for mobile video sequences in H.263 format. The considered filter has been designed with reference to the constraints of computational complexity and working memory of mobile terminals. The post filter suggested by the International Telecommunications Union (ITU) in Recommendation H.263 App. III is also included as a reference. Given that fidelity metrics such as the peak signal-to-noise ratio (PSNR) do not necessarily correlate well with video quality as experienced by the user, we consider in this paper objective quality metrics that can incorporate knowledge about the user's perception into the quality assessment. Guidelines for choosing filter parameters in relation to user-perceived video quality are obtained from the numerical results.

  • 2. Ishaq, Rizwan
    et al.
    Shahid, Muhammad
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Lövström, Benny
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Zapirain, Begona Garcıa
    Claesson, Ingvar
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Modulation frequency domain adaptive gain equalizer using convex optimization2012Conference paper (Refereed)
    Abstract [en]

    Adaptive gain equalizer (AGE) is a commonly used single-channel speech enhancement algorithm. AGE and its variants has been widely used for speech enhancement applications. There are two broad categories of these variants. The first deals with its improvement in time-frequency domain with readjustment of the used parameters and the second one deals with performing the main filtering operation in modulation frequency domain. This paper evaluates the working of AGE in modulation frequency domain with the use of a demodulation technique which solves the demodulation process as a convex optimization problem. The performance of the modified AGE is compared with the traditional AGE and another modulation frequency domain AGE based on demodulation using the spectral center-of-gravity. These used performance measures are Signal to Noise Ratio Improvement(SNRI), Spectral Distortion(SD) and Mean Option Score(MOS).

  • 3. Ishaq, Rizwan
    et al.
    Zapirain, Begona Garcia
    Shahid, Muhammad
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Lövström, Benny
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Subband Modulator Kalman Filtering for Single Channel Speech Enhancement2013Conference paper (Refereed)
    Abstract [en]

    his paper presents a single channel speech enhancement technique based on sub-band modulator Kalman filtering for laryngeal (normal) and alaryngeal (Esophageal speech) speech signals. The noisy speech signal is decomposed into sub-bands and subsequently each sub-band is demodulated into its modulator and carrier components. Kalman filter is applied to modulators of all sub-bands without altering the carriers. Performance of the proposed system has been validated by Mean Opinion Score (MOS) for laryngeal and Harmonic to Noise Ratio (HNR) for alaryngeal speech. An improvement of 20% has been observed in MOS over sub-band Kalman filtering for laryngeal speech, while 3 to 4 dB enhancement in HNR has been observed for alaryngeal speech over the full-band Kalman filtering.

  • 4. Lövström, Benny
    Detection of Specular Echoes by Split Spectrum Processing1993Conference paper (Refereed)
  • 5.
    Minhas, Tahir Nawaz
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
    Shahid, Muhammad
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Rossholm, Andreas
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Zepernick, Hans-Jürgen
    Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
    Fiedler, Markus
    Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
    QoE rating performance evaluation of ITU-T recommended video quality metrics in the context of video freezes2016In: Australian Journal of Electrical and Electronics Engineering, ISSN 1448-837X, Vol. 13, no 2, p. 122-131Article in journal (Refereed)
    Abstract [en]

    In real-time video streaming, video quality can be degraded due to network performance issues. Among other artefacts, video freezing and video jumping are factors that influence user experience. Service providers, operators and manufacturers are interested in evaluating the quality of experience (QoE) objectively because subjective assessment of QoE is expensive and, in many user cases, subjective assessment is not possible to perform. Different algorithms have been proposed and implemented in this regard. Some of them are in the recommendation list of the ITU Telecommunication Standardization Sector (ITU-T). In this paper, we study the effect of the freezing artefact on user experience and compare the mean opinion score of these videos with the results of two algorithms, the perceptual evaluation of video quality (PEVQ) and temporal quality metric (TQM). Both metrics are part of the ITU-T Recommendation J.247 Annex B and C. PEVQ is a full-reference video quality metric, whereas TQM is a no-reference quality metric. Another contribution of this paper is the study of the impact of different resolutions and frame rates on user experience and how accurately PEVQ and TQM measure varying frame rates.

  • 6.
    Minhas, Tahir
    et al.
    Blekinge Institute of Technology, School of Computing.
    Shahid, Mohammad
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Rossholm, Andreas
    Lövström, Benny
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Zepernick, Hans-Jürgen
    Blekinge Institute of Technology, School of Computing.
    Fiedler, Markus
    Blekinge Institute of Technology, School of Computing.
    Assessment of the Rating Performance of ITU-T Recommended Video Quality Metrics in the Context of Video Freezes2013Conference paper (Refereed)
    Abstract [en]

    Video streaming and multimedia applications are getting popular with the growth of networks. In real-time video streaming, video quality can be degraded due to network performance issues. Among other artifacts, freezing and frame dropping are factors that influence user experience. Service providers, operators, and researchers are interested to measure the Quality of Experience objectively. Different algorithms have been proposed and implemented in this regard. Some of them are in the recommendation list of the ITU Telecommunication Standardization Sector (ITU-T). In this paper, we study the effect of the freezing artifact on user experience and compare the mean opinion score (MOS) of these videos with the results of two algorithms, Perceptual Evaluation of Video Quality (PEVQ) and Temporal Quality Metric, both being part of ITU-T Recommendation J.247 Annex B and C, respectively. Another contribution of this paper is the investigation of the impact of different resolutions and frame rates on user experience.

  • 7.
    Pandremmenou, Katerina
    et al.
    Univ Ioannina, Dept Comp Sci & Engn, GR-45110 Ioannina, Greece..
    Shahid, Muhammad
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Kondi, Lisimachos P.
    Univ Ioannina, Dept Comp Sci & Engn, GR-45110 Ioannina, Greece..
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    ON THE IMPROVEMENT OF NO-REFERENCE MEAN OPINION SCORE ESTIMATION ACCURACY BY FOLLOWING A FRAME-LEVEL REGRESSION APPROACH2015In: 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, p. 1850-1854Conference paper (Refereed)
    Abstract [en]

    In order to estimate subjective video quality, we usually deal with a large number of features and a small sample set. Applying regression on complex datasets may lead to imprecise solutions due to possibly irrelevant or noisy features as well as the effect of overfitting. In this work, we propose a No-Reference (NR) method for the estimation of the quality of videos that are impaired by both compression artifacts and packet losses. Particularly, in an effort to establish a robust regression model that generalizes well to unknown data and to increase Mean Opinion Score (MOS) estimation accuracy, we propose a frame-level MOS estimation approach, where the MOS estimate of a sequence is obtained by averaging the perframe MOS estimates, instead of performing regression directly at the sequence-level. Since it is impractical to obtain the actual perframe MOS values through subjective experiments, we propose an objective metric able to do this task. Thus, our proposed NR method has the dual benefit of offering improved sequence-level MOS estimation accuracy, while giving an indication of the relative quality of each individual video frame.

  • 8. Pandremmenou, Katerina
    et al.
    Shahid, Muhammad
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Kondi, L.P.
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    A No-Reference Bitstream-based Perceptual Model for Video Quality Estimation of Videos Affected by Coding Artifacts and Packet Losses2015In: Proceedings of SPIE - The International Society for Optical Engineering, San Francisco: SPIE Press , 2015, Vol. 9394, p. Article number 93941F-Conference paper (Refereed)
    Abstract [en]

    In this work, we propose a No-Reference (NR) bitstream-based model for predicting the quality of H.264/AVC video sequences, a effected by both compression artifacts and transmission impairments. The concept of the article is based on a feature extraction procedure, where a large number of features are calculated from the impaired bitstream. Many of the features are mostly proposed in this work, while the specific c set of the features as a whole is applied for the first time for making NR video quality predictions. All feature observations are taken as input to the Least Absolute Shrinkage and Selection Operator (LASSO) regression method. LASSO indicates the most important features, and using only them, it is able to estimate the Mean Opinion Score (MOS) with high accuracy. Indicatively, we point out that only 13 features are able to produce a Pearson Correlation Coefficient of 0:92 with the MOS. Interestingly, the performance statistics we computed in order to assess our method for predicting the Structural Similarity Index and the Video Quality Metric are equally good. Thus, the obtained experimental results verifi ed the suitability of the features selected by LASSO as well as the ability of LASSO in making accurate predictions through sparse modeling.

  • 9. Rossholm, Andreas
    et al.
    Lövström, Benny
    A New Low Complex Reference Free Video Quality Predictor2008Conference paper (Refereed)
    Abstract [en]

    In many applications and environments for mobile communication there is a need for reference free perceptual quality measurements. In this paper a method for prediction of a number of quality metrics is proposed, where the input to the prediction is readily available parameters at the receiver side of a communications channel. Since the parameters are extracted from the coded video bit stream the model can be used in user scenarios where it is normally difficult to estimate the quality due to the reference not being available, as in streaming video and mobile TV applications. The predictor turns out to give good results for both the PSNR and the PEVQ metrics.

  • 10. Rossholm, Andreas
    et al.
    Lövström, Benny
    A New Video Quality Predictor Based on Decoder Parameter Extraction2008Conference paper (Refereed)
    Abstract [en]

    In the mobile communication area there is a demand for reference free perceptual quality measurements in video applications. In addition low complexity measurements are required. This paper proposes a method for prediction of a number of well known quality metrics, where the inputs to the predictors are readily available parameters at the decoder side of the communication channel. After an investigation of the dependencies between these parameters and between each parameter and the quality metrics, a set of parameters is chosen for the predictor. This predictor shows good results, especially for the PSNR

  • 11.
    Rossholm, Andreas
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    A robust method for estimating synchronization and delay of audio and video for communication services2016In: Multimedia tools and applications, ISSN 1380-7501, E-ISSN 1573-7721, Vol. 75, no 1, p. 527-545Article in journal (Refereed)
    Abstract [en]

    One of the main contributions to the quality of experience in streaming services or in two-way communication of audio and video applications is synchronization. This has been shown in several studies and experiments but methods to measure synchronization are less frequent, especially for situations without internal access to the application and independent of platform and device. In this paper we present a method for measuring synchronization skewness as well as delay for audio and video. The solution incorporates audio and video reference streams, where audio and video frames are marked with frame numbers which are decoded on the receiver side to enable calculation of synchronization and delay. The method has been verified in a two-way communication application in a transparent network with and without inserting known delays, as well as in a network with 5 and 10 % packet loss levels. The method can be used for both streaming and two-way communication services, both with and without access to the internal structures, and enables measurements of applications running on e.g. smartphones, tablets, and laptops under various conditions.

  • 12. Rossholm, Andreas
    et al.
    Lövström, Benny
    Andersson, Kenneth
    Low-Complex Adaptive Post Filter for Enhancement of Coded Video2007Conference paper (Refereed)
    Abstract [en]

    In this paper an adaptive filter that removes de-blocking and de-ringing artifacts and also enhances the sharpness of decoded video, which may be caused by zeroing high-frequency DCT coefficients, is presented. The solution is designed with consideration of Mobile Equipment with limited computational power and memory. Also, the solution is computationally scalable to be able to handle limited computational resources in different user cases. In the paper it is shown that the adaptive filter always keeps or increases the image quality, compared to the original decoded sequences, and that the amount of sharpening decreases with an decrease of bit-rate to limit amplification of coding artifacts or noise.

  • 13.
    Rossholm, Andreas
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Shahid, Muhammad
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Analysis of the impact of temporal, spatial, and quantization variations on perceptual video quality2014Conference paper (Refereed)
    Abstract [en]

    The growing consumer interest in video communication has increased the users' awareness in the visual quality of the delivered media. This in turn increases, at the service provider end, the need for intelligent methodologies of optimal techniques for adapting to varying network conditions. Recent studies show that constraints on the bandwidth of transmission media should not always be translated to an increase in compression ratio to lower the bitrate of the video. Instead, a suitable option for adaptive streaming is to scale down the video temporally or spatially before encoding to maintain a desirable level of perceptual quality, while the viewing resolution is constant. Most of the existing studies to examine these scenarios are either limited to low resolution videos or lack in provisioning of subjective assessment of quality. We present here the results of our campaign of subjective quality assessment experiments done on a range of spatial and temporal resolutions, up to VGA and 30 frames per second respectively, under a number of bitrate conditions. The analysis shows, among other things, that keeping the spatial resolution is perceptually preferred among the three parameters that have impact on the video quality, even in the case with high temporal activity.

  • 14. Sattar, Farook
    et al.
    Floreby, Lars
    Salomonsson, Göran
    Lövström, Benny
    Blekinge Institute of Technology, Department of Signal Processing.
    Image Enhancement based on a Nonlinear Multiscale Method1997In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 6, no 6, p. 888-895Article in journal (Refereed)
    Abstract [en]

    An image enhancement method that reduces speckle noise and preserves edges is introduced. The method is based on a new nonlinear multiscale reconstruction scheme that is obtained by successively combining each coarser scale image with the corresponding modified interscale image. Simulation results are included to demonstrate the performance of the proposed method.

  • 15. Shahid, Muhammad
    et al.
    Ishaq, Rizwan
    Sällberg, Benny
    Grbic, Nedelko
    Lövström, Benny
    Claesson, Ingvar
    Modulation Domain Adaptive Gain Equalizer for Speech Enhancement2011Conference paper (Refereed)
    Abstract [en]

    This paper evaluates speech enhancement by filtering in the modulation frequency domain, as an alternative to filtering in conventional frequency domain. Adaptive Gain Equalizer (AGE) is a commonly used single-channel speech enhancement algorithm. A recently introduced class of signal transformations called modulation transform has successfully made its place alongside classical time/frequency representations. This paper presents an implementation of AGE within modulation system, for the purpose of enhancing the speech signal. The successful implementation of the proposed system has been validated with various performance measurements, i.e., Signal to Noise Ratio Improvement (SNRI), Mean Opinion Score (MOS) and Spectral Distortion (SD). A spectrogram analysis is also presented to further substantiate the performance of this work

  • 16.
    Shahid, Muhammad
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Panasiuk, Joanna
    Van Wallendael, Glenn
    Barkowsky, Marcus
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Predicting full-reference video quality measures using HEVC bitstream-based no-reference features2015In: International Workshop on Quality of Multimedia Experience, IEEE Communications Society, 2015, Vol. Article number 7148118Conference paper (Refereed)
    Abstract [en]

    This paper presents bitstream-based features for perceptual quality estimation of HEVC coded videos. Various factors including the impact of different sizes of block-partitions, use of reference-frames, the relative amount of various prediction modes, statistics of motion vectors and quantization parameters are taken into consideration for producing 52 features relevant for perceptual quality prediction. The used test stimuli constitutes 560 bitstreams that have been carefully extracted for this analysis from the 59, 520 bistreams of the large-scale database generated by the Joint Effort Group (JEG) of the Video Quality Experts Group (VQEG). The obtained results show the significance of the considered features through reasonably accurate and monotonic prediction of a number of objective quality metrics. © 2015 IEEE.

  • 17.
    Shahid, Muhammad
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Pandremmenou,, Katerina
    Univ Ioannina, GRC.
    Lisimachos P., Kondi
    Univ Ioannina, GRC.
    Andreas, Rossholm
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Perceptual quality estimation of H.264/AVC videos using reduced-reference and no-reference models2016In: Journal of Electronic Imaging (JEI), ISSN 1017-9909, E-ISSN 1560-229X, Vol. 25, no 5Article in journal (Refereed)
    Abstract [en]

    Reduced-reference (RR) and no-reference (NR) models for video quality estimation, using featuresthat account for the impact of coding artifacts, spatio-temporal complexity, and packet losses, are proposed. Thepurpose of this study is to analyze a number of potentially quality-relevant features in order to select the mostsuitable set of features for building the desired models. The proposed sets of features have not been used in theliterature and some of the features are used for the first time in this study. The features are employed by the leastabsolute shrinkage and selection operator (LASSO), which selects only the most influential of them toward per-ceptual quality. For comparison, we apply feature selection in the complete feature sets and ridge regression onthe reduced sets. The models are validated using a database of H.264/AVC encoded videos that were subjec-tively assessed for quality in an ITU-T compliant laboratory. We infer that just two features selected by RRLASSO and two bitstream-based features selected by NR LASSO are able to estimate perceptual qualitywith high accuracy, higher than that of ridge, which uses more features. The comparisons with competingworks and two full-reference metrics also verify the superiority of our models.

  • 18. Shahid, Muhammad
    et al.
    Rossholm, Andreas
    Lövström, Benny
    A High Quality Adjustable Complexity Motion Estimation Algorithm For Video Encoders2011Conference paper (Refereed)
    Abstract [en]

    In the video encoding process, the motion estimation usually consumes a large part of the encoder computations. This paper presents motion estimation techniques, targeted mainly for MPEG-4 video encoding but also applicable for other video codecs e.g. H.264. A high quality adaptive algorithm with adjustable complexity, based on partially blind prediction for motion estimation, is proposed.The computational complexity of motion estimation is reduced with minor loss in the video quality. In the paper, the quality metrics PSNR, BD PSNR and PEVQ are used, and the possible trade off between complexity and visual quality is studied.

  • 19.
    Shahid, Muhammad
    et al.
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Rossholm, Andreas
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Lövström, Benny
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    A No-Reference Machine Learning Based Video Quality Predictor2013Conference paper (Refereed)
    Abstract [en]

    The growing need of quick and online estimation of video quality necessitates the study of new frontiers in the area of no-reference visual quality assessment. Bitstream-layer model based video quality predictors use certain visual quality relevant features from the encoded video bitstream to estimate the quality. Contemporary techniques vary in the number and nature of features employed and the use of prediction model. This paper proposes a prediction model with a concise set of bitstream based features and a machine learning based quality predictor. Several full reference quality metrics are predicted using the proposed model with reasonably good levels of accuracy, monotonicity and consistency.

  • 20. Shahid, Muhammad
    et al.
    Rossholm, Andreas
    Lövström, Benny
    A Reduced Complexity No-Reference Artificial Neural Network Based Video Quality Predictor2011Conference paper (Refereed)
    Abstract [en]

    There is a growing need for robust methods for reference free perceptual quality measurements due to the increasing use of video in hand-held multimedia devices. These methods are supposed to consider pertinent artifacts introduced by the compression algorithm selected for source coding. This paper proposes a model that uses readily available encoder parameters as input to an artificial neural network to predict objective quality metrics for compressed video without using any reference and without need for decoding. The results verify its robustness for prediction of objective quality metrics in general and for PEVQ and PSNR in particular. The paper also focuses on reducing the complexity of the neural network.

  • 21.
    Shahid, Muhammad
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Rossholm, Andreas
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Zepernick, Hans-Jürgen
    Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
    No-reference image and video quality assessment: a classification and review of recent approaches2014In: EURASIP Journal on Image and Video Processing, ISSN 1687-5176, E-ISSN 1687-5281, Vol. 2014, no 40Article, review/survey (Refereed)
    Abstract [en]

    The field of perceptual quality assessment has gone through a wide range of developments and it is still growing. In particular, the area of no-reference (NR) image and video quality assessment has progressed rapidly during the last decade. In this article, we present a classification and review of latest published research work in the area of NR image and video quality assessment. The NR methods of visual quality assessment considered for review are structured into categories and subcategories based on the types of methodologies used for the underlying processing employed for quality estimation. Overall, the classification has been done into three categories, namely, pixel-based methods, bitstream-based methods, and hybrid methods of the aforementioned two categories. We believe that the review presented in this article will be helpful for practitioners as well as for researchers to keep abreast of the recent developments in the area of NR image and video quality assessment. This article can be used for various purposes such as gaining a structured overview of the field and to carry out performance comparisons for the state-of-the-art methods.

  • 22.
    Shahid, Muhammad
    et al.
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Singam, Amitesh Kumar
    Rossholm, Andreas
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Lövstrom, Benny
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Subjective Quality Assessment of H.264/AVC Encoded Low Resolution Videos2012Conference paper (Refereed)
    Abstract [en]

    Advancements in the video processing area have been proliferated by services that require low delay. Such services involve applications being offered at various temporal and spatial resolutions. It necessitates to study the impacts of related video coding conditions upon perceptual quality. But most of studies concerned with quality assessment of videos affected by coding distortions lack in variety of spatio-temporal resolutions. This paper presents a work done on quality assessment of videos encoded by state-of-the-art H.264/AVC standard at different bitrates and frame rates. Overall, 120 test scenarios for video sequences having different spatial and temporal spectral information were studied. The used coded bistreams in this work and the corresponding subjective assessment scores have been made public for the research community to facilitate further studies

  • 23. Tavakoli, Samira
    et al.
    Shahid, Muhammad
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Brunnström, Kjell
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Narciso, Garcia
    Effect of content characteristics on quality of experience of adaptive streaming2014Conference paper (Refereed)
    Abstract [en]

    The growing popularity of adaptive streaming-based video delivery nowadays has raised the interest about the user's perception when experiencing quality adaptation. The impact of the video content characteristics on user's perceptual quality has already become evident. The aim of this study is to investigate the influence of this factor on the quality of experience of adaptive streaming scenarios. Our results show that the perceptual quality of adaptation strategies applied on videos with high spatial and low temporal amount of activity is significantly lower compared to the other content types.

  • 24.
    Usman, Muhammad Arslan
    et al.
    Kumoh National Institute of Technology (KIT), KOR.
    Young Shin, Soo
    Kumoh National Institute of Technology (KIT), KOR.
    Shahid, Muhammad
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Lövström, Benny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    A No Reference Video Quality Metric Based on Jerkiness Estimation Focusing on Multiple Frame Freezing in Video Streaming2017In: IETE Technical Review, ISSN 0256-4602, E-ISSN 0974-5971, Vol. 34, no 3, p. 309-320Article in journal (Refereed)
    Abstract [en]

    In wireless networks, due to limited bandwidth and packet losses, seamless and ubiquitous delivery of high-quality video streaming services is a big challenge for the operators. In order to improve the process of online video quality monitoring, the presence of no reference (NR) objective video quality assessment (VQA) methods is required. In some networks, the video decoder on the reception side adopts a mechanism in which last correctly received frame is frozen and displayed on video display terminal until the next correct frame is received. This phenomenon, employed as an error concealment technique, can cause a perceptual jerkiness on the video display terminal. In this paper, we have proposed an enhanced model of objective VQA based on the estimation of jerkiness. A study of three contemporary NR methods, used for objective VQA and online monitoring of videos, has been included along with subjective VQA tests. The subjective tests were performed for a set of video sequences with specific spatial and temporal information. The proposed NR method is based on our careful observations from the subjective test results and our main focus is to cater the effect of multiple frame freeze impairments in video steaming. Comparison with other NR methods shows that the proposed method performs better, in terms of estimating the impact of multiple frame freezing impairments, and has more affinity with the subjective test results.

  • 25.
    Zahoor, Amir
    et al.
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Koodtalang, Wittaya
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Shahid, Muhammad
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Lövström, Benny
    Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
    Visual Quality Improvement of Digital Video by Stabilization Using Adaptive CMAC Filtering2012Conference paper (Refereed)
    Abstract [en]

    A digital Video Stabilization (DVS) system removes the unwanted shaking in the videos acquired by hand-held cameras and preserves the panning. In this paper, a digital video stabilization system is proposed based upon adaptive cerebellar model articulation controller (CMAC) filtering. A CMAC is a manifestation of the associative memory learning structure present in the cerebellum of human being. Adaptive CMAC filtering has favorable properties of small size, good generalization, rapid learning and dynamic response. Thus, it is more suitable for high-speed signal processing applications. The adaptive CMAC is used to adjust the coefficients of IIR filter employed in the proposed model. The training of CMAC is based upon fuzzy rule. The efficacy of the proposed adaptive CMAC filtering has been validated by evaluating it on a set of test video sequences.

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