QoE-aware gaze-based Bit Allocation for Networked Video Encoding
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概要
- 論文の詳細を見る
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.
- 一般社団法人電子情報通信学会の論文
- 2013-03-04
著者
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Cheung Gene
National Institute Of Informatics
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Ji Yusheng
National Center For Science Information Systems
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Feng Yunlong
The Graduate University For Advanced Studies
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