Image repositioning method, device and terminal

A relocation and image technology, applied in the computer field, can solve problems such as large amount of calculation and complicated analysis process, and achieve the effect of reducing the amount of calculation.

Active Publication Date: 2014-10-29
XIAOMI INC
View PDF10 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] During the process of implementing the present disclosure, the discloser found at least the following defects in related technologies: when using the line clipping algorithm for image...

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
  • Image repositioning method, device and terminal
  • Image repositioning method, device and terminal
  • Image repositioning method, device and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present invention as recited in the appended claims.

[0063] figure 1 It is a flowchart of an image relocation method according to an exemplary embodiment, and the image relocation method is applied to a terminal, such as figure 1 As shown, the image relocation method includes the following steps.

[0064] In step 101, a saliency model of an original image is established.

[0065] The saliency model is used to represent the saliency value o...

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 provides an image repositioning method, device and terminal, and belongs to the technical field of computers. The method comprises the following steps: building a significance model of an original image; calculating the significance value of each pixel dot in the original image according to the significance model; repositioning a targeted image according to the significance value of each pixel dot, the original resolution of the original image and the target resolution of the targeted image. The device comprises a model building module, a value calculating module and an image positioning module. With the adoption of the image repositioning method, device and terminal, the problem that analyzing the content of the original image to obtain an important image dot is complex and leads to large calculating load is solved, and the effect of lowering down the calculating load is reached.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to an image relocation method, device and terminal. Background technique [0002] Image retargeting technology is an image processing technology that compresses, deforms or crops redundant information in an image based on image content. Commonly, an image relocation technology based on a seam carving algorithm can be used to remove redundant information in the image. [0003] In the process of image relocation using the line clipping algorithm, the terminal first obtains the color feature vector of each pixel in the original image, and determines the redundancy in the image according to the color feature vector and parameters such as the image content and image resolution of the original image. Pixel lines composed of pixels with higher degrees of density; the determined redundant pixel lines are cut out to obtain a relocated image. [0004] During the process of im...

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): G06T7/00G06K9/46
CPCG06T3/0012G06T3/40G06V10/40
Inventor 王琳张涛陈志军
Owner XIAOMI INC
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