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Recently, the concept of Entropy of Primitive (EoP) has been proposed to measure the image visual information. Some successful EoP based application also be developed. In this paper, we further explore the concept of EoP and propose an improved version: the L1 norm based EoP. Our EoP takes full account of the properties of a dictionary's layered structure and the characteristic of a basis pursuit...
The Group-based Sparse Representation (GSR) is able to sparsely represent natural images in the domain of group, which enforces the intrinsic local sparsity and nonlocal self-similarity of images simultaneously in a unified framework. And the GSR-driven L0 minimization method for image restoration has been proposed. This paper expands the application of GSR from image restoration to low lighting image...
In the latest HEVC video coding standard, angular intra prediction (AIP) applies 35 modes including 33 angular modes which can handle blocks with direction information well, and other 2 modes (DC and planar) which are used to predict smooth blocks. However, for blocks with complex texture, these modes may not give good predictions. Some complex blocks can be predicted well by template matching prediction...
In High Efficiency Video Coding (HEVC), advanced motion vector prediction (AMVP) is adopted to predict current motion vector by utilizing a competition-based scheme from a given candidate set, which include both the spatial and temporal motion vectors. In order to enhance the practicability of the AMVP, a simplified AMVP is proposed. Firstly, by analyzing the importance of the spatial and temporal...
Context-adaptive binary arithmetic coding (CABAC) is one of the most time-consuming modules in H.264/AVC decoder. A potential way to accelerate CABAC is by parallelization. However, the context modeling process for level information in CABAC is highly serial in nature and can not be parallelized in the coefficient level. In order to improve the throughput of CABAC, in this paper we present a parallel...
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree classifiers. However, the classification performances of these tree classifiers are different. The random forest classifier ignores the difference by simply assigning them equal weights in voting for the final classification...
In H.264/AVC, the bits used for the Intra_4times4 prediction mode information usually occupy a high percentage in intra coding. Towards this issue, we present an efficient coding method for the Intra_4times4 prediction mode information. Firstly, a 3-order Markov random field is introduced to model the correlation among neighboring 4times4 blocks at picture level. Secondly, based on the conditional...
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