Video saliency detection algorithm based on saliency target background modeling

A background modeling and background model technology, which is applied in the field of video saliency detection algorithm based on salient object background modeling, can solve the problems of high modeling complexity, inability to effectively guarantee video quality, inability to detect the initial few frames of images, etc. question

Inactive Publication Date: 2015-09-30
LANZHOU UNIVERSITY OF TECHNOLOGY
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional video saliency methods based on background modeling, such as the mixed Gaussian model background modeling method and the video target detection algorithm based on quaternion Fourier transform, need to combine the initial multi-frame images in the video for background modeling,

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
  • Video saliency detection algorithm based on saliency target background modeling
  • Video saliency detection algorithm based on saliency target background modeling
  • Video saliency detection algorithm based on saliency target background modeling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0049] A video saliency detection algorithm based on salient target background modeling of the present invention is as follows:figure 1 As shown, the important steps are introduced as follows:

[0050] 1. Obtain the residual background of the initial frame (current frame)

[0051] Use the static image saliency detection method to detect salient objects on the initial frame (current frame) image I) (input image map (2a)), and obtain the initial frame saliency map I s Such as figure 2 As shown in (b), a simple threshold (T∈[0,255]) segmentation is performed on the saliency map to obtain a binary image of the saliency map:

[0052] I s ′ ( i , j ) = { ...

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 video saliency detection algorithm based on saliency target background modeling. The algorithm comprises steps as follows: step 1, performing static image saliency detection on an initial frame (current frame) to acquire a saliency map of the initial frame, and acquiring a residual background according to the saliency map; step 2, performing similarity filling on pixels with pixel values being 0 in a residual background image to acquire an initial frame background model; step 3, according to the initial background model, subtracting the initial background model from the next frame through background subtraction to acquire a next frame of salient zone, performing information redundancy distinguishing on the salient zone, if the redundancy is lower, judging the salient zone to be correct, if the redundancy of the salient zone is higher, performing background modeling again on the current frame with the methods in steps 1 and 2; finally, acquiring a final salient video through sequential circulation. According to the algorithm, background modeling is not required to be performed on each frame in the video, so that the calculation speed can be higher.

Description

technical field [0001] The invention relates to the technical field of computer vision and multimedia processing, in particular to a video saliency detection algorithm based on salient object background modeling. Background technique [0002] In recent years, with the development of research on content-based video relocation, it is required that the relocated video can be displayed in various screen sizes and retain as much important information as possible in the video. In these content-based video relocalization techniques, how to quickly and accurately detect visually salient regions is still a challenging problem to be solved. [0003] Traditional video saliency methods based on background modeling, such as the mixed Gaussian model background modeling method and the video target detection algorithm based on quaternion Fourier transform, need to combine the initial multi-frame images in the video for background modeling, so they cannot The frame image is detected, and be...

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
IPC IPC(8): G06T7/20G06T7/00
CPCG06T7/11G06T7/20G06T2207/10016
Inventor 李策胡治佳肖利梅赵新宇
Owner LANZHOU UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap