Name
Title | ||
|---|---|---|
Subjective Rate-Distortion Optimization In Hevc With Perceptual Model Of Multiple Faces |
Abstract | ||
|---|---|---|
This paper proposes a novel perceptual video coding approach with a perceptual model of multiple faces, to improve the coding efficiency of HEVC in video conferencing scenarios. For the perceptual model, a latest active appearance model (AAM) is used to detect multiple faces in a video frame. Then, the perceptual model of multiple faces can be established on the basis of the detected multiple faces. With the established perceptual model of multiple faces, all faces in a video frame can be taken into account for subjective rate-distortion optimization, which is based on the state-of-the-art r - lambda rate control scheme of HEVC. As such, the perceptual video coding can be achieved for HEVC of video conferencing scenarios. Finally, the experimental results validate the effectiveness of the proposed perceptual video coding approach, in terms of subjective quality. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP) | HEVC, perceptual video coding, video conferencing |
Field | DocType | Citations |
Computer vision,Algorithmic efficiency,Computer science,Multiview Video Coding,Active appearance model,Coding (social sciences),Artificial intelligence,Videoconferencing,Video quality,Perception,Rate–distortion optimization | Conference | 1 |
PageRank | References | Authors |
0.35 | 8 | 3 |