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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Bit allocation QoE / Gaze Prediction |
Paper # | CQ2012-84 |
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Committee | CQ |
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Conference Date | 2013/3/4(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Communication Quality (CQ) |
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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 |
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