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Method for judging image memorability based on saliency entropy and object bank feature

A judgment method and memory technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as poor judgment effect and complex image memory, and achieve good judgment effect

Inactive Publication Date: 2013-01-02
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

However, since the memory of the image is a very complicated problem, it is difficult to express this characteristic with the global feature of the image, so the judgment effect of the existing methods is poor

Method used

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  • Method for judging image memorability based on saliency entropy and object bank feature
  • Method for judging image memorability based on saliency entropy and object bank feature
  • Method for judging image memorability based on saliency entropy and object bank feature

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Embodiment Construction

[0027] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0028] The hardware environment used for implementation is: Pentium-43G computer, 1GB memory, 128M graphics card. The running software environment is: Matlab7.0 and Windows XP, Ubuntu12.04. We have realized the method that the present invention proposes with Matlab software.

[0029] The present invention is specifically implemented as follows:

[0030] 1. Experimental data: We selected 2222 images published by Phillip in 2011 and the corresponding memory value of each image as the experimental data. 1111 images are randomly selected as training data, and the other 1111 images are used as test data. For Phillip's data, see the paper: Phillip I, Jianxiong X, Antonio T, et al. What makes an image memorable[C]. CVPR, 2011, 145-152.

[0031] 2. Feature extraction: extract the object bank features and saliency entropy features of 2222 experimental images

[0032]...

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Abstract

The invention relates to a method for judging image memorability based on saliency entropy and object bank feature. A research proves that the image memorability can be influenced by an object contained in an image and the dispersing degree of the image to human visual attraction, so that the object bank feature is used for expressing the object contained in the image and the visual saliency entropy of the image is used for expressing the dispersing degree of the image to the human visual attraction. The two models have excellent expression for the image memorability, so that the two features are combined for expressing a piece of image, and a memorability value of the image with unknown memorability value is forecast through a training supporting regression vector machine model. The method provided by the invention belongs to the field of computer image processing. According to the technical scheme, the image memorability can be judged; the method can be applied to the industries such as advertising industry and news editing; a suitable image can be selected by a practitioner; and the method has a high commercial value.

Description

technical field [0001] The invention relates to an image memory judging method based on saliency entropy and object bank features, which can be applied to various visible light images to judge the memory value of the image. Background technique [0002] Image memory is a new research direction in the field of digital image processing, and it has many applications. For example, editors can choose images that are easy to remember as the cover of magazines, and advertising designers can choose images that are easy to remember as posters and so on. Therefore, when given an image, it would be very meaningful if a computer can automatically determine whether it can be remembered by people. [0003] Because the memory of images is a relatively new research direction, there are not many methods to study this problem. Some existing methods first extract the global features of the image (such as SIFT, GIST, HOG, etc.), build a classifier and train the model, and then judge the memor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 韩军伟陈长远王东阳郭雷程塨
Owner NORTHWESTERN POLYTECHNICAL UNIV
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