Photograph classification method and mobile terminal

A mobile terminal and photo technology, applied in the communication field, can solve problems such as general classification methods and low efficiency for users to search for photos

Inactive Publication Date: 2016-12-14
VIVO MOBILE COMM CO LTD
View PDF8 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a method for classifying photos and a mobile terminal, so as to solve the problem that the efficiency of users searching for photos is relatively low due to the too general classification of photos by the mobile terminal

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
  • Photograph classification method and mobile terminal
  • Photograph classification method and mobile terminal
  • Photograph classification method and mobile terminal

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0028] see figure 1 , figure 1 is a flow chart of a photo classification method provided by an embodiment of the present invention, such as figure 1 shown, including the following steps:

[0029] Step 101. Obtain photo feature data of the photo, where the photo feature data is used to represent the color feature of the photo.

[0030] In this embodiment, the aforementioned photo may be a photo of a landscape, a photo of a person, a photo of an animal, a photo of a document, or the like. The aforementioned photo feature data may be histogram data, scatter plot data, or pie chart data, etc. The above-mentioned color features may be features such as a color histogram, a color moment, a color set, a color aggregation vector, a color correlation map, or a color grayscale channel of a photo.

[0031] Step 102. Encode the feature data of the photo to obtain the encoded value of the feature data of the photo.

[0032] In this embodiment, the foregoing encoding may be one or more ...

no. 2 example

[0040] see figure 2 , figure 2 is a flow chart of another photo classification method provided by the embodiment of the present invention, such as figure 2 shown, including the following steps:

[0041] Step 201. Obtain the image salient area of ​​the photo.

[0042] Step 202, extract spatial color histogram information from the salient region of the image, and use the spatial color histogram information as photo characteristic data of the photo, and the photo characteristic data is used to represent the color characteristics of the photo.

[0043] Step 203. Encode the feature data of the photo to obtain the encoded value of the feature data of the photo.

[0044] Step 204: Determine the classification storage address corresponding to the feature data encoding value according to the preset correspondence between the photo category coding range and the classification storage address.

[0045] Step 205, storing the photo in a folder corresponding to the classification sto...

no. 3 example

[0074] see Figure 4 , Figure 4 is a structural diagram of a mobile terminal provided by the implementation of the present invention, such as Figure 4 As shown, the mobile terminal 400 includes a first acquisition module 401, an encoding module 402, a determination module 403, and a storage module 404, wherein:

[0075] The first obtaining module 401 is used to obtain photo feature data of the photo, and the photo feature data is used to represent the color feature of the photo;

[0076] An encoding module 402, configured to encode the characteristic data of the photo to obtain the encoded value of the characteristic data of the photo;

[0077] A determining module 403, configured to determine the classification storage address corresponding to the characteristic data coding value according to the preset correspondence between the photo category coding range and the classification storage address;

[0078] The storage module 404 is configured to store the photo in a folde...

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 a photograph classification method and a mobile terminal. The method comprises the steps that photograph characteristic data of photographs are acquired, wherein the photograph characteristic data are used for representing the color characteristics of the photographs; the photograph characteristic data are encoded so that the characteristic data coded values of the photographs are obtained; classified storage addresses corresponding to the characteristic data coded values are determined according to the corresponding relationship between the preset photograph class coded range and the classified storage addresses; and the photographs are stored in file folders corresponding to the classified storage addresses. The photographs can be accurately classified so that the efficiency of the mobile terminal for searching the photographs can be enhanced.

Description

technical field [0001] The invention relates to the communication field, in particular to a photo classification method and a mobile terminal. Background technique [0002] With the rapid development of mobile terminal technology, most of the mobile terminals now have a camera function, and even the camera has become an indispensable function of the mobile terminal. When using a mobile terminal, a user will take a large number of photos of various types such as people, animals, landscapes or documents, and store them in the mobile terminal. However, the existing mobile terminals generally store photos according to the shooting time of the photos, causing the user to search all the photos in the mobile terminal when searching for a photo he wants. It can be seen that the current way of classifying photos by mobile terminals (for example, according to shooting time or the folder where the photos are located) is too general, resulting in relatively low efficiency for users to ...

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 Applications(China)
IPC IPC(8): G06K9/46G06K9/62G06F17/30
CPCG06F16/16G06F16/172G06V10/56G06F18/23213G06F18/24
Inventor 余强模
Owner VIVO MOBILE COMM 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