Papers by Author: Shu Ai Wan

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Authors: Fu Zheng Yang, Jia Run Song, Shu Ai Wan
Abstract: In the paper a no-reference system for quality assessment of video streaming over RTP is proposed for monitoring the quality of networked video. The proposed system is composed of four modules, where the quality assessment module utilizes information extracted from the bit-stream by the modules of RTP header analysis, frame header analysis and display buffer simulation. Taking MPEG-4 encoded video stream over RTP as an example, the process of video quality assessment using the proposed system is described in this paper. The proposed system is featured by its high efficiency without sorting to the original video or video decoding, and therefore well suited for real-time networked video applications.
Authors: Wei Li, Fu Zheng Yang, Shu Ai Wan, Guang Liang Ren
Abstract: A highly flexible quadtree structure has been introduced in the latest high efficient video coding (HEVC) to efficiently represent video content. However, the performance of the quadtre structure would be impaired when the video resolution is not an integral multiply of the largest coding unit (CU). To address this, a new CU splitting method on the frame boundary for arbitrary resolution video is proposed to improve the coding efficiency of HEVC. This method introduces the non-square CU to extend the CU candidate set on the frame boundary when the video resolution is not an integral multiple of the largest CU size. Simulation results show that the proposed method can reduce the coding bit rate by up to 0.76% compared with the original TMuC 0.9 reference software.
Authors: Shu Ai Wan, Kai Fang Yang, Hai Yong Zhou
Abstract: In this paper the important issue of multimedia quality evaluation is concerned, given the unimodal quality of audio and video. Firstly, the quality integration model recommended in G.1070 is evaluated using experimental results. Theoretical analyses aide empirical observations suggest that the constant coefficients used in the G.1070 model should actually be piecewise adjusted for different levels of audio and visual quality. Then a piecewise function is proposed to perform multimedia quality integration under different levels of the audio and visual quality. Performance gain observed from experimental results substantiates the effectiveness of the proposed model.
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