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Video quality assessment can be performed by comparing distorted video with the undistorted version by taking human vision system (HVS) into account. A perceptual vision sensitivity model is developed in this paper by systematically integrating visual attention and foveation mechanism into contrast sensitivity function (CSF). The model can accurately estimate a critical frequency beyond which the...
This paper proposes an effective scale- and rotation-invariant local binary pattern (LBP) feature for texture classification. A circular neighboring set of an image pixel is defined as a scale-adaptive texton by taking into account the fundamental local structure property of the pixel. The scale space of a texture image is derived by the Laplacian of the Gaussian and then employed to determine the...
In multimodal presentations the perceived audiovisual quality assessment is significantly influenced by the content of both the audio and visual tracks. Based on our earlier subjective quality test for finding the optimal trade-off between audio and video quality, this paper proposes a novel method for relative multimodal complexity analysis to derive the fusion parameter in objective audiovisual...
This paper proposes a semantic audiovisual analysis approach for video summarization. The sequence to be analyzed is first segmented into scenes according to audio similarity. Some global clues such as loudness, the ratio of unrelated shots, and the affective relationship between the scenes and the whole sequence are employed to compute the semantic scene importance. The shots in each scene are grouped...
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