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Research on Video Transcoding Techniques for Mobile Video Terminals

Author: XiaZhongChao
Tutor: YangGaoBo
School: Hunan University
Course: Computer Science and Technology
Keywords: Video Transcoding Region of interest Linear regression models The motion vector re-estimation Soccer video Video adaptation
CLC: TN919.81
Type: Master's thesis
Year: 2010
Downloads: 49
Quote: 0
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Abstract


With the development of network and multimedia communications, the exchange of different variety of video information on the network and increasing needs. Due to the diversity of the network and the terminal device, the encoded video stream is not necessarily optimal. Having different channel characteristics of the network, when the transmission of video streams to the user terminal with the different computing and display capability, it is necessary to adjust the video stream based on the user environment dynamically. Video transcoding by changing the format of the video coding standard, bit rate and resolution, so that the processed video stream to meet the special requirements of the transmission channel and decoder. Video transcoding is needed to solve two common problems: first, the computational complexity of the process to adjust transcoding it to ensure the quality of the video at the same time, to meet the requirements of real-time processing. Second, due to the lower video resolution, resulting in the loss of some important details will greatly affect the user's visual experience, the need to develop a video based on the region of interest (ROI) adaptive display technology. This article briefly describes the video coding principle, and summarized existing video transcoding technology, combined with the characteristics of mobile video terminals, respectively, the spatial resolution transcoding algorithm and region of interest-based video transcoding technology expand research. The paper's main work is as follows: first, put forward a motion vector based on a linear regression model re-estimation algorithm for H.264/AVC spatial resolution reduction of video transcoding. It uses the motion vector of the original video stream and down-sampling of the correlation between the motion vector of the video stream, using linear regression modeling, to obtain the motion vector of the down-sampled video. Simulation results show that the: retention rate distortion performance while significantly reducing the computational complexity. Second, the soccer video for playback on the mobile terminal needs the adaptive display of a video based on the region of interest. The mobile terminal to play the soccer video, usually by its screen size is small, the constraints of the low resolution, and easy to cause the loss of details, and thereby affect the visual quality. In football in the detection process, the use of the two Wei Haxi table and image sub-block detection technology to quickly and accurately track the object of football. Further, according to the window size and position players to dynamically adjust the location and size of the window of the region of interest. Simulation results show that: the algorithm Football the regional positioning accuracy, and a good balance between processing speed and video quality requirements.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Image communication, multimedia communication > Image coding
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