Abstract
Distributed video coding is a coding paradigm that shifts the computational intensive motion estimation from encoder to decoder. The lightweight encoder is far more attractive for wireless sensor network and wireless video communication application. But there is seldom successful DVC application in the real world, because of the decoder is too complex to realize, also the performance of DVC is far from the H.264 codec. In fact as the development of the hardware, the mobile device is far stronger than before. In this paper, we propose a coding paradigm that makes the complexity of the encoder and decoder is comparable, which is called balanced video coding. The motion estimation of distributed video coding was moved from the decoder to encoder. The results of motion estimation computation were sent back to decoder. The experimental results show that the complexity of the encoder and decoder from balanced video coding was comparable.
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Cai, S., Lin, Z. (2015). Computational Complexity Balance Between Encoder and Decoder for Video Coding. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_20
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DOI: https://doi.org/10.1007/978-3-662-47791-5_20
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