Presentation 2013-03-11
QoE-aware gaze-based Bit Allocation for Networked Video Encoding
Yunlong FENG, Gene Cheung, Yusheng JI,
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Abstract(in English) With the advent of video technology, video resolutions become higher and higher, while the frame size become larger and larger. In face of limited network transmission bandwidth, the conventional end-to-end streaming approach is to throttle sending rate, so that limited network bandwidth can be properly shared among transmitting video contents. Reduction of sending rate, however, causes a proportional degradation in video quality due to signal quantization, often resulting in unacceptable visual quality of experience. In this paper, we exploited unique characteristics of the human perceptual system to re-allocate bits using gaze information for networked video streaming.
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Keyword(in English) Bit allocation QoE / Gaze Prediction
Paper # CQ2012-84
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Committee CQ
Conference Date 2013/3/4(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) QoE-aware gaze-based Bit Allocation for Networked Video Encoding
Sub Title (in English)
Keyword(1) Bit allocation QoE
Keyword(2) Gaze Prediction
1st Author's Name Yunlong FENG
1st Author's Affiliation The Graduate University for Advanced Studies()
2nd Author's Name Gene Cheung
2nd Author's Affiliation National Institute of Informatics
3rd Author's Name Yusheng JI
3rd Author's Affiliation National Institute of Informatics
Date 2013-03-11
Paper # CQ2012-84
Volume (vol) vol.112
Number (no) 476
Page pp.pp.-
#Pages 3
Date of Issue