IEEE Trans Image Process - Rate-distortion optimised video transmission using pyramid vector quantisation.

Tópicos

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Resumo

Conventional video compression relies on interframe prediction (motion estimation), intra frame prediction and variable-length entropy encoding to achieve high compression ratios but, as a consequence, produces an encoded bitstream that is inherently sensitive to channel errors. In order to ensure reliable delivery over lossy channels, it is necessary to invoke various additional error detection and correction methods. In contrast, techniques such as Pyramid Vector Quantisation have the ability to prevent error propagation through the use of fixed length codewords. This paper introduces an efficient rate distortion optimisation algorithm for intra-mode PVQ which offers similar compression performance to intra H.264/AVC and Motion JPEG 2000 while offering inherent error resilience. The performance of our enhanced codec is evaluated for HD content in the context of a realistic (IEEE 802.11n) wireless environment. We show that PVQ provides high tolerance to corrupted data compared to the state of the art while obviating the need for complex encoding tools.

Resumo Limpo

convent video compress reli interfram predict motion estim intra frame predict variablelength entropi encod achiev high compress ratio consequ produc encod bitstream inher sensit channel error order ensur reliabl deliveri lossi channel necessari invok various addit error detect correct method contrast techniqu pyramid vector quantis abil prevent error propag use fix length codeword paper introduc effici rate distort optimis algorithm intramod pvq offer similar compress perform intra havc motion jpeg offer inher error resili perform enhanc codec evalu hd content context realist ieee n wireless environ show pvq provid high toler corrupt data compar state art obviat need complex encod tool

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