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Similar to previous video coding standards, transform and quantization are used in the most recent video coding standard High Efficiency Video Coding (HEVC) and a large number of transform coefficients are quantized to zeros. In order to reduce the computations involved in transform and quantization in HEVC, a prediction approach based on Gaussian model is proposed to predict zero quantized transform...
Sensation of reality refers to the ability of users to feel present in a multimedia experience. As 3D technologies target to provide more immersive and higher quality multimedia experiences, it is important to understand Quality of Experience (QoE) and sensation of reality. Recently, there have been efforts to measure brain activity in order to understand implicitly QoE for various multimedia contents...
Video sharing sites such as Youtube are prominent examples for the increasing demand of private camera owners to record, save and share their real life experiences as videos. Whereas professional video productions use advanced camera equipment in a controlled environment with skilled cameramen, User-Generated Video (UGV) differs significantly in regard of equipment, skill and thus in video quality...
This paper introduces a novel reconstruction model with compound regularization to recover compressed-sensed video sequences. For a target frame, the compound regularization consists of total variation (TV) norm of the frame, l1 norm of the frame in a certain transform domain, and TV norm of the residual between the frame and its prediction. The first two terms in the compound regularization are used...
Tone Mapping Operators (TMOs) transform High Dynamic Range (HDR) contents to address Low Dynamic Range (LDR) displays. However, before reaching the end-user, these contents are usually compressed using a codec (coder-decoder) for broadcasting or storage purposes. Achieving the best trade-off between rendering and compression efficiency is of prime importance. Any TMO includes a rounding quantization...
Most of the fast search motion estimation algorithms reduce the computational cost of motion estimation greatly by checking only a few search points inside the search area by using full distortion measure. This paper proposes a multi-layer motion estimation which employs partial distortion as its distortion measure to reduce the number of computations involved in each search point instead of reducing...
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