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Hevc optimization algorithm based on visual saliency

An optimization algorithm, a significant technology, applied in the field of video processing, can solve the problems of large coding complexity and difficulty

Active Publication Date: 2020-11-10
深圳市北辰星途科技有限公司
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Problems solved by technology

However, HEVC also brings considerable coding complexity. At the same time, it is difficult to further improve video compression performance using traditional techniques centered on reducing statistical redundancy.

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  • Hevc optimization algorithm based on visual saliency
  • Hevc optimization algorithm based on visual saliency

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Embodiment Construction

[0070] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0071] Such as Figure 9 As shown, for the purpose of perceptual compression of high-definition lossless video, an eye-tracking data set is established based on HEVC standard test high-definition lossless video, based on the most advanced deep learning method, using self-attention mechanism and ConvLSTM module to construct a neural network, and conduct High-precision spatio-temporal saliency modeling for high-definition video. At the same time, a perceptual r...

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Abstract

The invention discloses an HEVC optimization algorithm based on visual saliency, and the algorithm comprises the following steps: firstly, establishing a high-definition lossless eye-tracking data setfor promoting the research of perceiving high-definition video compression; in a video saliency part, extracting static features of video frames through a VGG-16 network with enhanced spatial attention and the excellent performances of deep learning in image processing, and then processing long-range time domain information of a video through ConvLSTM to perform high-precision video saliency detection; in a high-definition video compression part, obtaining the saliency of the CU by using the predicted saliency map, so more subjective visual perception redundancy can be removed by using rate distortion optimization of perception saliency, the video compression effect is improved, the video compression time is shortened, and the video compression effect is further improved by using a QP selection algorithm of perception saliency.

Description

technical field [0001] The present invention relates to the technical field of video processing, and more specifically relates to a HEVC optimization algorithm based on visual saliency. Background technique [0002] With the emergence of ultra-high-definition television, digital television, smart phones, and webcasting, more and more high-definition and ultra-high-definition videos are transmitted and stored on streaming media, and the data volume of these high-definition videos is huge. Therefore, it is necessary to develop video compression standards to reduce video capacity. Based on these requirements, High Efficiency Video Coding is produced as an advanced video coding standard. [0003] High Efficiency Video Coding (HEVC) offers significant improvements in compression performance over existing standards. It achieves efficient video compression by reducing statistical redundancy and a small amount of perceptual redundancy in video. In terms of statistical redundancy, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/136H04N19/42H04N19/147H04N19/96H04N19/119H04N19/105H04N19/19
CPCH04N19/105H04N19/119H04N19/136H04N19/147H04N19/19H04N19/42H04N19/96
Inventor 祝世平畅钦尧
Owner 深圳市北辰星途科技有限公司
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