SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
IEEE Transactions on Multimedia
A joint iterative decoding Scheme in wireless image transmission system
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Design and analysis of optimal noisy channel quantization with random index assignment
IEEE Transactions on Information Theory
On protection of compressed image in fading channel using data hiding
Computers and Electrical Engineering
Collusion resilient spread spectrum watermarking in M-band wavelets using GA-fuzzy hybridization
Journal of Systems and Software
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In recent years, joint source-channel coding for multimedia communications has gained increased popularity. However, very limited work has been conducted to address the problem of joint source-channel coding for object-based video. In this paper, we propose a data hiding scheme that improves the error resilience of object-based video by adaptively embedding the shape and motion information into the texture data. Within a rate-distortion theoretical framework, the source coding, channel coding, data embedding, and decoder error concealment are jointly optimized based on knowledge of the transmission channel conditions. Our goal is to achieve the best video quality as expressed by the minimum total expected distortion. The optimization problem is solved using Lagrangian relaxation and dynamic programming. The performance of the proposed scheme is tested using simulations of a Rayleigh-fading wireless channel, and the algorithm is implemented based on the MPEG-4 verification model. Experimental results indicate that the proposed hybrid source-channel coding scheme significantly outperforms methods without data hiding or unequal error protection