Intelligent selection method of video thumbnails

A thumbnail and video technology, used in image analysis, image data processing, special data processing applications, etc., can solve problems such as inability to meet requirements and heavy workload

Inactive Publication Date: 2010-10-06
ALIBABA (CHINA) CO LTD
View PDF7 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the above method can solve this problem, it still cannot meet the requirements in practice. This is because (1) through data analysis, we know that users usually do not or rare

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
  • Intelligent selection method of video thumbnails
  • Intelligent selection method of video thumbnails
  • Intelligent selection method of video thumbnails

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0086] continue to see figure 1 A video thumbnail intelligent selection method of the present invention is used to select a thumbnail representing the video from a section of video, comprising the following steps:

[0087] Step (1) Obtain N thumbnails of a video, where 2≤N≤100, and N is a constant, using the equal interval extraction method, according to the pre-obtained video duration, divide it into N equal parts on average, and then each One frame is equally extracted as a thumbnail, and N=8.

[0088] Step (2) Calculate the position and size of the frontal face, the position and size of the side face, the position and size of the whole body, the position and size of the upper body, the position and size of the lower body, and the grayscale histogram for each thumbnail Distribution value, variance distribution value of grayscale histogram, variance distribution value of color RGB histogram, difference value of color RGB image into grayscale image, variance value of pixel po...

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 an intelligent selection method of video thumbnails, comprising the following steps: 1) acquiring N numbered thumbnails of a video, wherein N is more than or equal to 2 and less than or equal to 100, and N is a constant; 2) calculating the characteristics of each thumbnail, such as frontal face position and size, profile face position and size, whole body position and size, upper body position and size, lower body position and size, gray level histogram distribution value, gray level histogram variance distribution value, colorful RGB histogram variance distribution value, difference value that a colorful RGB image is changed into a gray level image, the variance value of a gray level image pixel point, the variance value of the colorful RGB image pixel point, the dispersion distance value between the colorful RGB blocks, and the like; 3) calculating the characteristic values of each thumbnail respectively through ambiguity functions; 4) weighting and calculating the characteristic values of each thumbnail to obtain a final fraction; 5) sequencing the N numbered thumbnails according to the fraction of each thumbnail; and 6) selecting the thumbnail with the highest fraction as the thumbnail representing the video.

Description

technical field [0001] The invention relates to a picture selection method, in particular to an intelligent video thumbnail selection method through computer image processing. Background technique [0002] In the daily application of video websites, an important technology is to extract a frame of image from a video file as a representative image of the video file, and we call this image a thumbnail of the video file. Our current practice is to extract eight thumbnails from video files and set the fourth one as the default thumbnail. The thumbnail image obtained by adopting the fixed position method for default is usually not the most representative thumbnail image among the eight thumbnail images. We have adopted some methods to solve this problem, such as (1) users can determine which picture is used as the default thumbnail through a custom method, and (2) give the website staff the right to choose which picture is used as the default thumbnail. Although the above metho...

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): G06F17/30G06T7/00
Inventor 连惠城刘子枫
Owner ALIBABA (CHINA) CO LTD
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