Low-complexity video encoder for smart eyes based on underdetermined blind signal separation
Jing Liu, Fei Qiao, Zhijian Ou, Huazhong Yang

TL;DR
This paper introduces a low-complexity video encoding method using Underdetermined Blind Signal Separation, significantly reducing encoding time and energy consumption while maintaining quality.
Contribution
It proposes a novel UBSS-based video coding framework with three techniques to improve compression and decoding quality, outperforming existing methods in speed and energy efficiency.
Findings
30ms less encoding time than DISCOVER
50% energy savings compared to H.264
Effective enhancement of compression ratio and quality
Abstract
This paper presents a low complexity video coding method based on Underdetermined Blind Signal Separation (UBSS). The detailed coding framework is designed. Three key techniques are proposed to enhance the compression ratio and the quality of the decoded frames. The experiments validate that the proposed method costs 30ms encoding time less than DISCOVER. The simulation shows that this new method can save 50% energy compared with H.264.
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Taxonomy
TopicsBlind Source Separation Techniques · Gaze Tracking and Assistive Technology · Image Processing Techniques and Applications
