No abstract

3-D video will become one of the most important video technologies in the next generation of television. Due to ultra high data bandwidth requirement for 3-D video, effective compression technology becomes an essential part in the infrastructure. Thus stereo and multiview video coding (MVC) plays a critical role. However, MVC systems require much more computational complexity relative to mono-view video coding systems. Therefore, an ef cient prediction scheme is necessary for encoding. In this paper, a new fast motion estimation (ME) algorithm is proposed. By utilizing disparity estimation (DE) to nd corresponding blocks between different views, the coding information such as motion vectors can be effectively shared and reused from the coded view channel. Therefore, the computation for ME in most view channels can be greatly reduced. Experimental results show that compared with the full search block matching algorithm applied to both ME and DE, the proposed algorithm saves 95% computation with near-FSBMA quality.

This paper presented a novel depth map generation method -the short-term motion assisted color segmentation, which combines the pictorial, monocular and binocular depth cues of human vision. The proposed method utilizes a motion/edge registration technique to avoid the motion jitter error in common motion segmentation. And the motion/image segment adaptation algorithm matches the connected components with the motion segments. Even for static scene, the connected componet algorithm is still working for the depth map generation. The experimental results show that the adaptation of motion and image segmentation improves quality and smoothness of the depth map both in the spatial and temporal domain.

Abstract-Multiview video coding (MVC) systems require much more bandwidth and computational complexity relative to mono-view video systems. Thus, when designing a VLSI architecture for MVC systems, the hardware resource allocation is a critical issue. In this paper, we propose a new system bandwidth analysis scheme for various and complicated MVC structures. The precedence constraint in the graph theory is adopted for deriving the processing order of frames in a MVC system. In addition, current block centric scheduling (CBCS) and search window centric scheduling (SWCS) are proposed for MVC bandwidth analysis. By adopting data reuse schemes, several design points are explored with the aid of the proposed analysis scheme. The suitable hardware resource allocation can be easily determined.

Abstract-3-D video will become one of the most significant video technologies in the next-generation television. Due to the ultra high data bandwidth requirement for 3-D video, effective compression technology becomes an essential part in the infrastructure. Thus multiview video coding (MVC) plays a critical role. However, MVC systems require much more memory bandwidth and computational complexity relative to mono-view video coding systems. Therefore, an efficient prediction scheme is necessary for encoding. In this paper, a new fast prediction algorithm, content-aware prediction algorithm (CAPA) with inter-view mode decision, is proposed. By utilizing disparity estimation (DE) to find corresponding blocks between different views, the coding information, such as rate-distortion cost, coding modes, and motion vectors, can be effectively shared and reused from the coded view channel. Therefore, the computation for motion estimation (ME) in most view channels can be greatly reduced. Experimental results show that compared with the full search block matching algorithm (FSBMA) applied to both ME and DE, the proposed algorithm saves 98.4-99.1% computational complexity of ME in most view channels with negligible quality loss of only 0.03-0.06 dB in PSNR.