Video Coding Parameters Effect on Object Recognition

Wu Ze-min; Liu Tao; Jiang Qing-zhu; Hu Lei

doi:10.11999/JEIT141613

Volume 37 Issue 8

Aug. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(8): 1906-1912

Wu Ze-min, Liu Tao, Jiang Qing-zhu, Hu Lei. Video Coding Parameters Effect on Object Recognition[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1906-1912. doi: 10.11999/JEIT141613

Citation:

Wu Ze-min, Liu Tao, Jiang Qing-zhu, Hu Lei. Video Coding Parameters Effect on Object Recognition[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1906-1912. doi: 10.11999/JEIT141613

Wu Ze-min, Liu Tao, Jiang Qing-zhu, Hu Lei. Video Coding Parameters Effect on Object Recognition[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1906-1912. doi: 10.11999/JEIT141613

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Video Coding Parameters Effect on Object Recognition

doi: 10.11999/JEIT141613

Received Date: 2014-12-18
Rev Recd Date: 2015-01-22
Publish Date: 2015-08-19

Abstract

Abstract

Researchers have done a great number of studies on the object recognition and the video coding transmission respectively. However, there are still no public reports about the influence on the object recognition raised by the video encoding parameters. For this issue, the Deformable Part Model (DPM), a typical object recognition algorithm and the most commonly-used video encoding methods-H.264/AVC are chosen as the test objects. In order to study how the code rates and the resolution affect the performance of video object recognition, the coding and detection experiments are designed and the function of recognition performance changes caused by the code rates and the resolution is fitted. The result shows that the compromise can be achieved between the channel bandwidth and the video object recognition performance through selecting the appropriate the code rates and the resolution parameters for the encoder which provides basis for encoding optimization object function of different video applications.
- Computer vision,
- Object recognition,
- Video code,
- Code rates,
- Resolution

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References(23)

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