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Muzahim Aziz, Hussein
Alternative names
Publications (5 of 5) Show all publications
Aziz, H. M., Fiedler, M., Grahn, H. & Lundberg, L. (2013). Compressing Video Based on Region of Interest. In: : . Paper presented at IEEE Eurocon 2013. Zagreb, Croatia: IEEE
Open this publication in new window or tab >>Compressing Video Based on Region of Interest
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Real-time video streaming suffer from bandwidth limitation that are unable to handle the high amount of video data. To reduce the amount of data to be streamed, we propose an adaptive technique to crop the important part of the video frames, and drop the part that are outside the important part; this part is called the Region of Interest (ROI). The Sum of Absolute Differences (SAD) is computed to the consecutive video frames on the server side to identify and extract the ROI. The ROI are extracted from the frames that are between reference frames based on three scenarios. The scenarios been designed to position the reference frames in the video frames sequence. Linear interpolation is performed from the reference frames to reconstruct the part that are outside the ROI on the mobile side. We evaluate the proposed approach for the three scenarios by looking at the size of the compressed videos and measure the quality of the videos by using the Mean Opinion Score (MOS). The results show that our technique significantly reduces the amount of data to be streamed over wireless networks with acceptable video quality are provided to the mobile viewers.

Place, publisher, year, edition, pages
Zagreb, Croatia: IEEE, 2013
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-6356 (URN)10.1109/EUROCON.2013.6625197 (DOI)000343135600240 ()oai:bth.se:forskinfoE23EB7B76ABA2C87C1257C2F004E401D (Local ID)978-1-4673-2230-0 (ISBN)oai:bth.se:forskinfoE23EB7B76ABA2C87C1257C2F004E401D (Archive number)oai:bth.se:forskinfoE23EB7B76ABA2C87C1257C2F004E401D (OAI)
Conference
IEEE Eurocon 2013
Available from: 2015-05-25 Created: 2013-11-26 Last updated: 2018-02-02Bibliographically approved
Aziz, H. (2013). Streaming Video over Unreliable and Bandwidth Limited Networks. (Doctoral dissertation). Karlskrona: Blekinge Institute of Technology
Open this publication in new window or tab >>Streaming Video over Unreliable and Bandwidth Limited Networks
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The main objective of this thesis is to provide a smooth video playout on the mobile device over wireless networks. The parameters that specify the wireless channel include: bandwidth variation, frame losses, and outage time. These parameters may affect the quality of the video negatively, and the mobile users may notice sudden stops during the playout video, i.e., the picture is momentarily frozen, followed by a jump from one scene to a different one. This thesis focuses on eliminating frozen pictures and reducing the amount of video data that need to be transmitted. In order to eliminate frozen scenes on the mobile screen, we propose three different techniques. In the first technique, the video frames are split into sub-frames; these sub-frames are streamed over different channels. In the second technique the sub-frames will be “crossed” and sent together with other sub-frames that are from different positions in the streaming video sequence. If some sub-frames are lost during the transmission a reconstruction mechanism will be applied on the mobile device to recreate the missing sub-frames. In the third technique, we propose a Time Interleaving Robust Streaming (TIRS) technique to stream the video frames in different order. The benefit of that is to avoid losing a sequence of neighbouring frames. A missing frame from the streaming video will be reconstructed based on the surrounding frames on the mobile device. In order to reduce the amount of video data that are streamed over limited bandwidth channels, we propose two different techniques. These two techniques are based on identifying and extracting a high motion region of the video frames. We call this the Region Of Interest (ROI); the other parts of the video frames are called the non-Region Of Interest (non-ROI). The ROI is transmitted with high quality, whereas the non-ROI is interpolated from a number of references frames. In the first technique the ROI is a fixed size region; we considered four different types of ROI and three different scenarios. The scenarios are based on the position of the reference frames in the streaming frame sequence. In the second technique the ROI is identified based on the motion in the video frames, therefore the size, position, and shape of the ROI will be different from one video to another according to the video characteristic. The videos are coded using ffmpeg to study the effect of the proposed techniques on the encoding size. Subjective and objective metrics are used to measure the quality level of the reconstructed videos that are obtained from the proposed techniques. Mean Opinion Score (MOS) measurements are used as a subjective metric based on human opinions, while for objective metric the Structural Similarity (SSIM) index is used to compare the similarity between the original frames and the reconstructed frames.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Institute of Technology, 2013. p. 194 p.
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 8
Keywords
Streaming video, Mobile device, Frame splitting, Sub-frame crossing, Time Interleaving Robust Streaming, Region of Interest, Mean Opinion Score
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-00560 (URN)oai:bth.se:forskinfo06B7279AFD1FFDC2C1257B71002CEB53 (Local ID)978-91-7295-258-4 (ISBN)oai:bth.se:forskinfo06B7279AFD1FFDC2C1257B71002CEB53 (Archive number)oai:bth.se:forskinfo06B7279AFD1FFDC2C1257B71002CEB53 (OAI)
Available from: 2013-06-12 Created: 2013-05-20 Last updated: 2018-01-11Bibliographically approved
Muzahim Aziz, H., Fiedler, M., Grahn, H. & Lundberg, L. (2012). Adapting the Streaming Video Based on the Estimated Position of the Region of Interest. In: : . Paper presented at Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS). Naples: IEEE
Open this publication in new window or tab >>Adapting the Streaming Video Based on the Estimated Position of the Region of Interest
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Streaming real time video over wireless networks cannot guarantee that all the frames could meet their deadlines. Wireless networks may suffer from bandwidth limitations. To reduce the streaming data over wireless networks, we propose a technique to identify, and extract the Region Of Interest (ROI), and drop the non-ROI from the frames that are between the reference frames. The Sum of Absolute Differences (SAD) will compute the consecutive video frames to identify the ROI as it considered the most motion and important region. The reconstruction mechanism to the non-ROI is performed on the mobile side by applying linear interpolation between the reference frames. We evaluate the proposed approach by using Mean Opinion Score (MOS) measurements. MOS are used to evaluate the two scenarios with equivalent encoding size, where the users observe the first scenario with a low bit rate for the original videos, while for the second scenario the users observe our proposed approach. The results show that our technique significantly reduces the amount of data, while the reconstruction mechanism provides acceptable video quality to the mobile viewers.

Place, publisher, year, edition, pages
Naples: IEEE, 2012
Keywords
streaming video, region of interest, sum of absolute differences, mean opinion scores
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-6970 (URN)10.1109/SITIS.2012.11 (DOI)000315360300001 ()oai:bth.se:forskinfo0CC7CFCDCC5FBC66C1257B28003D0B09 (Local ID)978-1-4673-5152-2 (ISBN)oai:bth.se:forskinfo0CC7CFCDCC5FBC66C1257B28003D0B09 (Archive number)oai:bth.se:forskinfo0CC7CFCDCC5FBC66C1257B28003D0B09 (OAI)
Conference
Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS)
Available from: 2013-05-31 Created: 2013-03-08 Last updated: 2018-02-02Bibliographically approved
Muzahim Aziz, H., Fiedler, M., Grahn, H. & Lundberg, L. (2012). Adapting the Streaming Video on the Estimated Motion Position. Advances in Electrical and Electronic Engineering, 10(4)
Open this publication in new window or tab >>Adapting the Streaming Video on the Estimated Motion Position
2012 (English)In: Advances in Electrical and Electronic Engineering, ISSN 1336-1376, E-ISSN 1804-3119, Vol. 10, no 4Article in journal (Refereed) Published
Abstract [en]

In real time video streaming, the frames must meet their timing constraints, typically specified as their deadlines. Wireless networks may suffer from bandwidth limitations. To reduce the data transmission over the wireless networks, we propose an adaption technique in the server side by extracting a part of the video frames that considered as a Region Of Interest (ROI), and drop the part outside the ROI from the frames that are between reference frames. The estimated position of the selection of the ROI is computed by using the Sum of Squared Differences (SSD) between consecutive frames. The reconstruction mechanism to the region outside the ROI is implemented in the mobile side by using linear interpolation between reference frames. We evaluate the proposed approach by using Mean Opinion Score (MOS) measurements. MOS are used to evaluate two scenarios with equivalent encoding size, where the users observe the first scenario with low bit rate for the original videos, while for the second scenario the users observe our proposed approach with high bit rate. The results show that our technique significantly reduces the amounts of data are streamed over wireless networks, while the reconstruction mechanism will provides acceptable video quality.

Place, publisher, year, edition, pages
VSB-Technical University of Ostrava, 2012
Keywords
Streaming video, Region of Interest, Sum of Squared Differences, Mean Opinion Score
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-7009 (URN)oai:bth.se:forskinfo49CE15E58B390CD0C1257B28003EE340 (Local ID)oai:bth.se:forskinfo49CE15E58B390CD0C1257B28003EE340 (Archive number)oai:bth.se:forskinfo49CE15E58B390CD0C1257B28003EE340 (OAI)
External cooperation:
Note

Open Access Journal

Available from: 2013-03-08 Created: 2013-03-08 Last updated: 2018-02-02Bibliographically approved
Muzahim Aziz, H., Fiedler, M., Grahn, H. & Lundberg, L. (2012). Distribute the Video Frame Pixels over the Streaming Video Sequence as Sub-Frames. In: : . Paper presented at 4th International Conferences on Advances in Multimedia. Chamonix / Mont Blanc: XPS (Xpert Publishing Services)
Open this publication in new window or tab >>Distribute the Video Frame Pixels over the Streaming Video Sequence as Sub-Frames
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Real-time video streaming over wireless channel has become an important issue due to the limited bandwidth that is unable to handle the flow of information of the video frames. The characteristics of wireless networks in terms of the available bandwidth, frame delay, and frame losses cannot be known in advance. As the effect of that, the user may notice a frozen picture in the mobile screen. In this work, we propose a technique to prevent freezing frames in the mobile devices based on spatial and temporal locality for the video stream, by splitting the video frame into four sub-frames and combining them with another sub-frames from different sequence positions in the streaming video. In case of frames losses, there is still a possibility that one fourth (one sub-frame) of the frame will be received by the mobile device. The received sub-frames will be reconstructed based on the surrounding pixels. The rate adaptation mechanism will be also highlighted in this work, by skipping sub-frames from the video frames. We show that the server can skip up to 75% of the frame’s pixels and the receiving pixels (sub-frames) can be reconstructed to acceptable quality in the mobile device.

Place, publisher, year, edition, pages
Chamonix / Mont Blanc: XPS (Xpert Publishing Services), 2012
Keywords
streaming video, wireless network, frame splitting, sub-frame crossing, rate adaptation
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-7010 (URN)oai:bth.se:forskinfoFF948E8EAB447A81C1257B28003BD9E4 (Local ID)oai:bth.se:forskinfoFF948E8EAB447A81C1257B28003BD9E4 (Archive number)oai:bth.se:forskinfoFF948E8EAB447A81C1257B28003BD9E4 (OAI)
Conference
4th International Conferences on Advances in Multimedia
Available from: 2013-03-08 Created: 2013-03-08 Last updated: 2018-02-02Bibliographically approved
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