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Visual salience algorithm of color and motion overall contrast in video frame image

A global contrast, video frame technology, applied in the field of computer vision

Inactive Publication Date: 2013-07-17
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Cheng's method is simple and effective, but because it only uses the color information of the image and lacks the consideration of motion information, it is not suitable for the saliency calculation of the frame image in the video

Method used

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  • Visual salience algorithm of color and motion overall contrast in video frame image
  • Visual salience algorithm of color and motion overall contrast in video frame image
  • Visual salience algorithm of color and motion overall contrast in video frame image

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Embodiment Construction

[0060] The implementation of the present invention will be further described below in conjunction with the accompanying drawings.

[0061] The simulation experiment carried out by the present invention is programmed on a PC test platform with a CPU of 2.53GHz and a memory of 1.96GB.

[0062] Such as figure 1 As shown, the visual salience algorithm of color and motion global contrast in the video frame image of the present invention is described in detail by the following steps:

[0063] (1), input the original video frame image, such as figure 2 As shown, using the mean shift algorithm to pre-segment the original video frame image into area, , that is, generate video frame image area;

[0064] (2), calculate the first The color salience value of each region, the specific steps are as follows:

[0065] (2-1), the original video frame image The three color components of the color space are quantized into 16 equal parts, and then The three color components of the...

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Abstract

The invention discloses a visual salience algorithm of the color and motion overall contrast in a video frame image. The visual salience algorithm comprises the steps: (1) inputting an original video frame image, and splitting the original video frame image into a plurality of areas; (2) computing the color salience value of the kth area; (3) computing the normalized color salience value of a pixel point P of the kth area; (4) computing the motion salience value of the kth area; (5) computing the normalized motion salience value of the pixel point P of the kth area; and (6) computing the color and motion salience value of the whole video frame image. By integrating the color salience map and the motion salience map of the video frame image together to compute out the color and motion salience map of the video frame image, the salient object in the video frame image can stand out to shadow the non-salient background area. The visual salience algorithm of the color and motion overall contrast in the video frame image can obtain good effects for different types of video frame images and be applied to operations, such as video scaling.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method for calculating the visual salience of the global contrast of color and motion in a video frame image. Background technique [0002] When facing a complex scene, the human eye can quickly focus on a few prominent areas, which are called visually salient areas. The visual saliency algorithm simulates the process of human eyes observing images, and then extracts the area of ​​interest of human eyes, and finally obtains a visual saliency map corresponding to the degree of visual attention. By dividing the image into several regions and comparing these regions with the whole image, the method of measuring the significance of each region is called the global contrast method. At present, researchers at home and abroad have proposed some visual saliency algorithms based on global contrast, such as Cheng (reference: M. M. Cheng, G. X. Zhang, N. J. Mitra, X. Huang and S. M. Hu. Gl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T7/40G06T5/40
Inventor 刘志杜欢罗书花李利娜许人杰
Owner SHANGHAI UNIV