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Image automatic cutting method

An automatic and image technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems of insufficient image cropping subjectivity, and the accuracy is difficult to meet user needs.

Active Publication Date: 2017-05-10
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

However, these rules are not comprehensive enough for the subjective task of image cropping, and the accuracy is difficult to meet user needs.

Method used

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Embodiment Construction

[0042] The technical problems solved by the embodiments of the present invention, the technical solutions adopted and the technical effects achieved are clearly and completely described below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments in the present application, all other equivalent or obviously modified embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. Embodiments of the invention can be embodied in many different ways as defined and covered by the claims.

[0043] Deep learning has achieved rapid development and good results in various fields. The embodiment of the present invention considers the use of deep learning to automatically learn important areas of influence on image cropping, so as to automatically and ...

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Abstract

The invention relates to an image automatic cutting method. The method comprises the following steps: extracting an aesthetic response graph and a gradient energy graph of an image to be cut; intensively extracting candidate cutting images from the image to be cut; based on the aesthetic response graph, screening the candidate cutting images; and based on the aesthetic response graph and the gradient energy graph, estimating composition fractions of screened candidate cutting images and determining that a candidate cutting image with the highest score is a cutting image. According to the scheme, an aesthetic influence area of a picture is studied by use of the aesthetic response graph, an aesthetic reservation portion is determined by use of the aesthetic response graph, high aesthetic quality of the cutting image is better reserved to be greatest extent, at the same time, a gradient distribution rule is analyzed by use of the gradient energy graph, and the composition fraction of the cutting image is evaluated based on the aesthetic response graph and the gradient energy graph. The image automatic cutting method provided by the embodiment of the invention makes up for the defect of image composition expression and solves the problem of how to improve the robustness and precision of image automatic cutting.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition, machine learning and computer vision, in particular to an image automatic cropping method. Background technique [0002] With the rapid development of computer technology and digital media technology, people's needs and expectations for computer vision, artificial intelligence, machine perception and other fields are also increasing. Image automatic cropping, as a very important and common task in automatic image editing, has also received more and more attention and development. Image automatic cropping technology is to remove redundant areas and emphasize areas of interest, thereby improving the overall composition and aesthetic quality of the image. An effective and automatic image cropping method can not only liberate human beings from tedious work, but also provide some professional image editing suggestions to some non-professionals. [0003] Since image cropping is a very su...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06N3/08G06K9/62
CPCG06N3/08G06V10/267G06F18/24G06F18/214
Inventor 黄凯奇赫然考月英
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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