Title :
Adaptive segmentation based joint source-channel coding for wireless video transmission
Author :
Su, Yingjun ; Lu, Jianhua ; Wang, Jing ; Letaief, Khaled ; Gu, Jun
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
An adaptive segmentation based joint source-channel coding scheme for wireless video transmission is proposed. In particular, for a given standard source encoder, such as H.263, the image frames are adaptively segmented into regions in terms of rate-distortion characteristics. Then, bit allocation is optimally performed for the regions taking into account objective visual distortion sensitivity and channel condition. Furthermore, an efficient algorithm with low computational complexity is contrived to ease the optimization process. Simulations confirm that the proposed scheme is an effective way to support a reliable video transmission in various harsh environments
Keywords :
adaptive signal processing; combined source-channel coding; computational complexity; image segmentation; optimisation; radio links; video coding; visual communication; H.263; adaptive image segmentation; bit allocation; channel condition; joint source-channel coding; low computational complexity; objective visual distortion sensitivity; optimization process; rate-distortion characteristics; standard source encoder; wireless digital video transmission; Automatic repeat request; Bit rate; Channel coding; Fading; Forward error correction; Image segmentation; MPEG 4 Standard; Rate-distortion; Water resources; Wireless sensor networks;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Spring. IEEE VTS 53rd
Conference_Location :
Rhodes
Print_ISBN :
0-7803-6728-6
DOI :
10.1109/VETECS.2001.945062
