Album classification and optimization method and device and intelligent terminals

Abstract

The invention provides an album classification and optimization method and device and an intelligent terminal. The album classification and optimization method includes the following steps that picture similarity identification is conducted on various pictures in a system album, multiple groups of pictures of which the similarities in picture feature data are within a range of a preset similarity are determined, and multiple groups of pictures are stored in corresponding groups of temporary folders respectively; picture definition identification is conducted on all pictures of various temporary folders, and according to the picture feature data, pictures of which the definition is lower than preset definition are labeled separately; according to preset settings or user commands, the labeled pictures are removed, and the system album is synchronously uploaded. By conducting similarity identification and definition identification on pictures in the album, the method and device classify and optimize the pictures, so that automatic arrangement of the pictures in the album is achieved, and vague pictures with poor quality can be rapidly removed from the album. Meanwhile, the storage space is saved, the efficiency is improved, and the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of image processing and the field of mobile communication, in particular to a method, device and mobile terminal for classifying and optimizing an album. Background technique [0002] With the popularization of smart phones and digital cameras, photo shooting has become more and more routine and massive. But as more and more photos are taken, this brings people an annoyance, exactly how to store and manage these photos. [0003] Nowadays, when users take pictures daily or when they go out for fun, many blurred photos will inevitably be produced. Usually, users will not process these photos in time during the shooting process, resulting in a large number of unqualified photos stored in the album, wasting storage space. Moreover, when the user needs to deal with it in the future, he needs to check one by one and manually delete it. The operation is extremely cumbersome and inefficient. At the same time, when...

AI Technical Summary

Problems solved by technology

But as more and more photos are taken, this has brought people an annoyance, that is how to store and manage these photos

[0003] Nowadays, when users take pictures daily or when they go out for fun, many blurred photos will inevitably be produced. Usually, users will not process these photos in time during the shooting process, resulting in a large number of unqualified photos stored in the album, wasting storage space. Moreover, when users need to process in the future, they need to view one by one and delete them manually. The operation is extremely cumbersome and inefficient

At the same time, when users go out to play, they often take multiple photos with the same scenic spot as the background, resulting in many similar photos with similarities and minor differences. Since these photos are not classified, the photos in the album look disorganized, and it is not convenient for users in the future. Manage these photos

[0004] It can be seen that the existing technical solutions cannot realize the function of automatically classifying a large number of photos according to different backgrounds or features in the pictures and filtering out pictures with better image quality at the same time, which increases a large number of manual operations for users, and the user experience is poor.

It can be seen that the traditional method cannot meet the needs of users in classifying, optimizing and managing photos, resulting in messy photos and low search efficiency for users

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