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Depth estimation is an important part of free viewpoint television (FTV) because accuracy of depth information affects directly the synthesized video quality at virtual viewpoint. However, generating an accurate depth map is a computationally complex process, which makes real-time implementation challenging. In order to obtain accurate depth information with low complexity, a hybrid matching technique is proposed. It is composed of three types of matching mode: pixel matching, 3x3 and 5x5 block matching. By using contour and motion information in matching mode selection, the proposed technique is more complied with human visual system which is more sensitive moving regions than static one. Experimental results show that the proposed algorithm can not only enhance the synthesized visual quality, but also reduce the complexity in matching process.

The edge-awarded method for depth map compressive sensing (CS) was proposed [1]. The edgeawarded depth map CS showed better visual quality than H.264/AVC which are widely used. This method can reconstruct efficiently the boundary of objects. However, this makes staircase artifact around edges unfortunately. These artifact makes pixel value around edge to distorted value. Edge is most important information in depth map. So, this artifact cause really critical problem especially when image rendering process.In this paper, to eliminate staircase artifact generated by edgeawarded depth map CS, we proposed a homogenizing filter to relive the staircase effects. The experimental results show the proposed filter provides better visual image quality than compressive sensing using edge-adaptive method and H.264.

Abstract-Transmission issue of wireless video, as the hugest percentage among mobile traffics, is a challenge problem in wireless/mobile networks. To tackle video transmission problem occurred in heterogeneous networks as well as different devices, scalable video coding (SVC) has been developed. Also, network coding (NC) enables to transmit efficiently for same given bandwidth. In this paper, we propose a simple random linear network coding (RLNC) for SVC transmission with decode and forward (DF) system over wireless relay network. In order to transmit base layer of SVC with high reliability using characteristics of RLNC in DF relay system, we propose a method which re-groups differently basic coding units of base layer and enhancement layers in SVC. The simulation shows our proposed method gains better performance compared to previous methods.