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The 3D High Efficiency Video Coding (3D-HEVC) is the latest 3D extension of the HEVC video coding standard. It supports multi-view videos plus depth (MVD), which is a sophisticated format for enhanced 3D content. Depth modeling modes (DMM) are adopted in the 3D-HEVC for better sharp edge encoding. However, employing DMM causes important computational complexity. In this paper, we propose a new method...
In this paper, we present a novel perceptually-based optimization for the improvement of stereoscopic video coding efficiency. The main idea of this proposed scheme is to adaptively adjust the quantization parameter by taking into account the Human Visual System perceptual characteristics. For this, a saliency map is generated from both views and then segmented into salient and non-salient regions...
The High Efficiency Video Coding (HEVC) is the next generation video coding standard. The HEVC provides equivalent perceptual quality with bit-budget saving greater than 50% compared to the H.264/AVC. In this paper, we propose a new fast intra prediction mode decision algorithm for the HEVC. We apply an early termination method based on the statistics of the resulted IPMs from both rough mode decision...
We propose a discriminative texture feature based on a recent discrete implementation of the curvelet transform, namely the uniform discrete curvelet transform (UDCT). Several approaches including either statistical methods or spectral methods have been considered to describe the characteristics of textured surface. Anyhow, most of the proposed texture features are sensitive to rotation variations...
Several evolutionary algorithms (EAs) are proposed in the literature to solve continuous optimisation problems. In this paper we present a new search startegy to improve the efficiency of the Shuffled Frog Leaping Algorithm (SFLA). The shuffled frog leaping algorithm is a population-based approach for a heuristic search in optimization problems. The algorithm consists of a set of virtual frogs partitioned...
We propose a discriminative texture feature based on a recent discrete implementation of the curvelet transform, namely the uniform discrete curvelet transform (UDCT). Several approaches including either statistical methods or spectral methods have been considered to describe the characteristics of textured surface. Anyhow, most of the proposed texture features are sensitive to rotation variations...
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