Content-Aware Video Adaptation in Low Bit-rate Constraint

Abstract

With the development of wireless and the improvement of mobile device capability, video streaming is more and more widespread applied in such environment. Under the limited resource and inherent constraints, appropriate video adaptation has become one of the most important and challenging issues in wireless multimedia application related areas. We propose a novel approach to adapt video based on content information in order to effectively utilize resource and improve visual perceptual quality in this paper. According to the analyzed characteristics of brightness, location, motion vector, and energy features, combined with capability of client device and correlational statistic model, the attractive or interesting regions of video scene are derived. Therefore, the Region Weighted Rate-Distortion is used for adjusting the bit allocation. Video adaptation scheme dynamically adapt video bitstream through object, frame, and GOP levels. Experimental results show that the proposed scheme is efficient and achieves better visual quality.