DocumentCode :
2691731
Title :
Spatial resolution decision in scalable bitstream extraction for network and receiver aware adaptation
Author :
Wang, Yu ; Chau, Lap-Pui ; Yap, Kim-Hui
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fYear :
2008
fDate :
June 23 2008-April 26 2008
Firstpage :
577
Lastpage :
580
Abstract :
Reliable transmission of video over heterogeneous networks requires efficient coding, as well as scalability to different client capabilities, system resources and network conditions. Scalable video coding can provide a full scalability comprising temporal scalability, spatial scalability and quality scalability to increase its adaptability to network and client conditions. It encodes the original video at a full resolution, but enables extracting partial streams to reconstruct the video depending on the specific rate and resolution required by a certain application. This paper addresses the problem of scalable bitstream extraction. Given the bandwidth constraint and the display resolution of the end user, the proposed algorithm will decide the spatial resolution of the sub-stream to be extracted based on the analysis of the content information to maximize the perceptual video quality. Experimental results demonstrate the efficiency of the proposed algorithm.
Keywords :
feature extraction; image resolution; video coding; bandwidth constraint; scalable bitstream extraction; scalable video coding; spatial resolution decision; video quality; video reliable transmission; Bandwidth; Bit rate; Data mining; Decoding; Information analysis; Scalability; Spatial resolution; Static VAr compensators; Streaming media; Video coding; Scalable video coding; adaptation; bitstream extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-2570-9
Electronic_ISBN :
978-1-4244-2571-6
Type :
conf
DOI :
10.1109/ICME.2008.4607500
Filename :
4607500
Link To Document :
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