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Compressed sensing (CS) has been proposed for more efficient signal compression and recovery at theoretical level. This paper proposes a new image/video coding approach combining the CS theory into the traditional discrete cosine transform (DCT) based coding method to achieve better compression efficiency for spatially sparse signal. Furthermore, this new(More)
H.26L is a new recommendation for moving picture coding proposed by ITU-T, in which 1/4-pel and 1/8-pel fractional pixel motion compensation is added to achieve more accurate motion description and higher compression efficiency. However, at the same time the complexity of the fractional pixel motion estimation also increases, requiring a total of 24(More)
We propose an efficient compression algorithm for massive models, which consist of a large number of small to medium sized connected components. It is based on efficiently exploiting repetitive patterns in the input model. Compared with [Shikhare et al. 2001], the state-of-the-art work for utilizing repetitive patterns for compressing massive models, our(More)
A packet-layer video quality assessment (VQA) model is a lightweight model that predicts the video quality impacted by network conditions and coding configuration for application scenarios such as video system planning and in-service video quality monitoring. It is under standardization in ITU-T Study Group (SG) 12. In this article, we first differentiate(More)
Motivated by a 1994 result of Graham et al. (Amer. Math. Monthly 101(7) (1994) 664) about spanning trees of the graphs with an antipodal isomorphism, we introduce the concept of k-pairable graphs and extend the result in Graham et al. (Amer. Math. Monthly 101(7) (1994) 664) to this larger class of graphs. We then define a new graph parameter p(G), called(More)