Unlock instant, AI-driven research and patent intelligence for your innovation.

Visual saliency algorithm based on motion characteristic of object in video

A technology in object motion and video, applied in the fields of computer vision and image processing, it can solve problems such as reducing the accuracy of saliency algorithms, and achieve the effect of improving accuracy and reducing algorithm complexity

Inactive Publication Date: 2014-06-11
SHANGHAI UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the global motion of the object in the video, the local motion of the object in the video is more significant, while the global motion of the object in the video is less significant. If the visual salience of the global motion of the object in the video is not reduced in advance will reduce the accuracy of the saliency algorithm

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Visual saliency algorithm based on motion characteristic of object in video
  • Visual saliency algorithm based on motion characteristic of object in video
  • Visual saliency algorithm based on motion characteristic of object in video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] Such as Figure 1-9 As shown, a kind of visual saliency algorithm based on object movement feature in the video of the present invention, its specific implementation steps are as follows:

[0048] (1) 、 A motion estimation algorithm based on block matching is used to calculate the motion vector of the luminance component of the current frame, and the specific implementation steps are as follows:

[0049] (11), extracting the current frame original image and the previous frame original image of the video stream that needs to be detected by visual salience;

[0050] (12), respectively extracting the luminance components of the above-mentioned two adjacent frames;

[0051] (13), the current frame luminance component of the video stream is divided into blocks according to the size of 16×16 pixel blocks;

[0052] (14), adopting ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a visual saliency algorithm based on the motion characteristic of an object in video. The visual saliency algorithm specifically comprises the following steps of: (1) calculating a motion vector of a brightness component of a current frame by using a block match-based motion estimation calculation method; (2) acquiring the motion vector from which the mean is removed; (3) performing Gaussian filter on the motion vector after the mean is removed; (4) calculating squares of components in the horizontal direction and components in the vertical direction of the motion vector respectively to obtain visual saliency maps of the horizontal direction and the vertical direction; and (5) acquiring a final visual saliency map. According to the method, when motion factors of the object in the video are considered, the motion saliency is extracted according to the local motion vector characteristic of the saliency object in the video by reducing the influence of the global motion of the object in the video on the visual saliency, so that the accuracy of the visual saliency algorithm can be effectively improved; and the algorithm provided by the invention has low complexity.

Description

technical field [0001] The invention relates to a visual saliency algorithm based on motion characteristics of objects in video, and belongs to the technical fields of computer vision and image processing. Background technique [0002] With the development of information technology, the amount of video information that people are exposed to in life is increasing. How to efficiently extract salient objects in videos has attracted more and more researchers' attention. Visual saliency has a wide range of applications in video signal processing. Applications, such as video retrieval, video compression, video surveillance, video tracking and other fields. [0003] In terms of video retrieval, since the amount of video data is very large, extracting salient objects in the video and using them as video features can effectively improve the accuracy of retrieval. [0004] In terms of video compression, since the video resolution is getting higher and higher, efficient video compress...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
Inventor 王杜瑶黄素娟谭刚沈慧王铎成
Owner SHANGHAI UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com