Video clustering method, ordering method, video searching method and corresponding devices

A clustering method and video technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of unobtainable video, and achieve the effect of accurate video search

Inactive Publication Date: 2012-07-04
冉阳
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since video is a high-dimensional flow type, simply using a

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 clustering method, ordering method, video searching method and corresponding devices
  • Video clustering method, ordering method, video searching method and corresponding devices
  • Video clustering method, ordering method, video searching method and corresponding devices

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] Specific embodiments of the present invention will be described in detail below.

[0024] Human vision has an innate capacity for rapid recognition and abstraction. When browsing a video, the human vision and brain's responsiveness can help it easily understand the objects and background in the video, thereby automatically forming a content structure. Inspired by this, the present invention aims to provide a fast video search engine technology capable of simulating human vision. However, it is not a simple matter for human beings to realize this seemingly simple ability of rapid visual recognition of the environment on a computer, because human vision is a complex physical and chemical system. The following first introduces the characteristics of the human visual system.

[0025] There are two types of photoreceptor cells in the human retina, cone cells (Cones) and rod cells (Rods). The light-sensing level of the rod cells is low, and they can react when they capture a...

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 relates to the field of video information, and discloses a video clustering method, an ordering method, a video searching method and corresponding devices. The video clustering method comprises a clustering step used for clustering multiple pixels of which the similarity is higher than a predetermined threshold value together by aiming at each frame in a video, so as to obtain super pixels capable of imitating the minimum entity of human vision, wherein the similarity is calculated according to the colors, the positions and/or the motion characteristics of the pixels. Through conducting time-space domain self-correlation and cross-correlation analysis on pixel areas in the video and ordering the pixel areas in the video on the basis of the super pixels capable of imitating the minimum entity of the human vision, the invention has the advantage that videos can be accurately searched in a real-time manner even in a massive video database.

Description

technical field [0001] The present invention relates to a video clustering method, a sorting method and a video search method, in particular to a video clustering method, a sorting method, a video search method and corresponding devices based on video information itself rather than its text description. Background technique [0002] With the rapid development of the Internet and multimedia technology, the multimedia data that people can access has increased dramatically. As the most complex multimedia data, video has been widely used and developed by virtue of its diverse forms of expression, rich semantic content, and convenient recording methods. At the same time, the development of large-capacity storage technology makes the storage cost of digital video information lower and lower, which promotes the mass generation and accumulation of digital video information. Facing more and more massive video databases, how to quickly and effectively analyze and retrieve video conte...

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): G06F17/30
Inventor 冉阳
Owner 冉阳
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