Title :
More successful recognition: Seeking the relation of video object detection performance with video coding parameters
Author :
Tao Liu; Zemin Wu; Mingyong Zeng; Qingzhu Jiang; Lei Hu
Author_Institution :
PLA University of Science and Technology, College of Communications Engineering, Nanjing, 210007, China
Abstract :
Video object recognition is an importance topic in both defense and civilian applications. However, object recognition guarantee is not considered in current video coding standard H.264. For this issue, experiments based on H.264/AVC codec are designed to measure the affection of coding parameters on recognition performance. The quantitative functions of recognition performance with coding rate and resolution ratio are given. More practically, such functions can be used for optimal tradeoff between the channel bandwidth and video object recognition performance when efficient video data transfer is needed.
Keywords :
"Encoding","Object recognition","Fitting","Video coding","Bandwidth","Decoding","Standards"
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2015 12th International Computer Conference on
DOI :
10.1109/ICCWAMTIP.2015.7493971