IEEE Trans Image Process - Side-information-dependent correlation channel estimation in hash-based distributed video coding.

Tópicos

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Resumo

In the context of low-cost video encoding, distributed video coding (DVC) has recently emerged as a potential candidate for uplink-oriented applications. This paper builds on a concept of correlation channel (CC) modeling, which expresses the correlation noise as being statistically dependent on the side information (SI). Compared with classical side-information-independent (SII) noise modeling adopted in current DVC solutions, it is theoretically proven that side-information-dependent (SID) modeling improves the Wyner-Ziv coding performance. Anchored in this finding, this paper proposes a novel algorithm for online estimation of the SID CC parameters based on already decoded information. The proposed algorithm enables bit-plane-by-bit-plane successive refinement of the channel estimation leading to progressively improved accuracy. Additionally, the proposed algorithm is included in a novel DVC architecture that employs a competitive hash-based motion estimation technique to generate high-quality SI at the decoder. Experimental results corroborate our theoretical gains and validate the accuracy of the channel estimation algorithm. The performance assessment of the proposed architecture shows remarkable and consistent coding gains over a germane group of state-of-the-art distributed and standard video codecs, even under strenuous conditions, i.e., large groups of pictures and highly irregular motion content.

Resumo Limpo

context lowcost video encod distribut video code dvc recent emerg potenti candid uplinkori applic paper build concept correl channel cc model express correl nois statist depend side inform si compar classic sideinformationindepend sii nois model adopt current dvc solut theoret proven sideinformationdepend sid model improv wynerziv code perform anchor find paper propos novel algorithm onlin estim sid cc paramet base alreadi decod inform propos algorithm enabl bitplanebybitplan success refin channel estim lead progress improv accuraci addit propos algorithm includ novel dvc architectur employ competit hashbas motion estim techniqu generat highqual si decod experiment result corrobor theoret gain valid accuraci channel estim algorithm perform assess propos architectur show remark consist code gain german group stateoftheart distribut standard video codec even strenuous condit ie larg group pictur high irregular motion content

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