Abstract Recently, Peer-to-Peer (P2P) techniques for Internet Protocol Television (IPTV) have attracted a lot of attention due to their high potential at improving the performance of today’s multimedia systems. In this paper, we propose a novel concepts and mechanisms that enable the use of Scalable Video Coding (SVC) in Peer–to–Peer Television (P2PTV) system to achieve the quality adaptation. Using SVC, we have developed a... Recently, Peer-to-Peer (P2P) techniques for Internet Protocol Television (IPTV) have attracted a lot of attention due to their high potential at improving the performance of today’s multimedia systems. In this paper, we propose a novel concepts and mechanisms that enable the use of Scalable Video Coding (SVC) in Peer–to–Peer Television (P2PTV) system to achieve the quality adaptation. Using SVC, we have developed a two-stage quality adaptation algorithm that matches the video quality with available local and system resources. Key components with different our design options are presented and experimentally evaluated, with the objective of investigating benefits of network P2P in combination with SVC. We have carried out extensive experiments on real stream data to (i) evaluate the performance of our design in terms of adapted video stream SVC with available resources (ii) more robustness against high churn rates, heterogeneous peers, and flash crowd scenarios. Our results demonstrate the feasibility of the approach and bring us one step closer to real adaptive peer-to-peer streaming. Read More Read Less

Abstract This paper presents an image mosaic technique using ORB (oriented FAST and rotated BRIEF) descriptor and an improved blending algorithm. Features of images with overlapping regions are first described by ORB descriptors. This binary descriptor outperforms SIFT and SURF in regard of processing speed. RANSAC algorithm is then applied to reject mismatches. Once the best projective deformation matrix is found, brightness equalization is... This paper presents an image mosaic technique using ORB (oriented FAST and rotated BRIEF) descriptor and an improved blending algorithm. Features of images with overlapping regions are first described by ORB descriptors. This binary descriptor outperforms SIFT and SURF in regard of processing speed. RANSAC algorithm is then applied to reject mismatches. Once the best projective deformation matrix is found, brightness equalization is conducted and an improved weighting function is utilized to blend images and reduce visible artifacts. Experimental results show this approach to be efficient in accounting for image mosaic, and the edge artifacts could be significantly reduced and even completely eliminated with the blending process designed in this paper. Read More Read Less

Abstract In this paper, we design a comprehensive interactive video edit and playback system based on hotspot labeling. To meet the requirement of smoothness in editing and playback, the system framework is designed in DirectShow. And the improved Camshift tracking algorithm and XML technology are combined with DirectShow to achieve the goal of hotspot labeling in varieties of video.... In this paper, we design a comprehensive interactive video edit and playback system based on hotspot labeling. To meet the requirement of smoothness in editing and playback, the system framework is designed in DirectShow. And the improved Camshift tracking algorithm and XML technology are combined with DirectShow to achieve the goal of hotspot labeling in varieties of video. Read More Read Less