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An Interactive Image Retrieval Method Combining User Evaluation and Annotation

A technology of image retrieval and user evaluation, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the semantic gap, the difficulty of automatically obtaining the semantic information of images, the color, texture, and shape can not truly reflect the image content, etc. problems, to avoid time-consuming and labor-intensive, and improve retrieval accuracy.

Inactive Publication Date: 2016-12-28
COMMUNICATION UNIVERSITY OF CHINA
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AI Technical Summary

Problems solved by technology

In practical applications, the underlying physical characteristics such as color, texture, and shape sometimes cannot truly reflect the content of the image, that is, there is a certain semantic gap
Recently, people have proposed semantic-based image retrieval methods, but how to automatically obtain the semantic information of images is very difficult.

Method used

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  • An Interactive Image Retrieval Method Combining User Evaluation and Annotation
  • An Interactive Image Retrieval Method Combining User Evaluation and Annotation
  • An Interactive Image Retrieval Method Combining User Evaluation and Annotation

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with accompanying drawing:

[0031] The technical scheme of this embodiment is as figure 1 Shown:

[0032] First, the retrieval system extracts the underlying physical features of all the images in the image library offline in advance. The extracted features include: color features, texture features, shape features, spatial distribution features and local invariance features, and generate image feature library V; then Such as figure 2 The online retrieval process shown, the specific flow of the online retrieval process is as follows:

[0033] (1) The user submits query information, which can be the query image Q N , it can also be the input text information, or the query image and text information exist at the same time; the retrieval system for the query image QN Perform feature extraction, and extract keywords from the input text information; the system performs feature similarity matching S1 on ...

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Abstract

The invention discloses an interactive type image retrieval method of combining user evaluation and labels, and belongs to the field of multimedia information retrieval. The method utilizes a comprehensive retrieval method based on the combination of physical characteristics of images and text. In the process of retrieval, a user is allowed to carry out text information description on query images or select keywords provided by a system. By carrying out relevant evaluation of 'satisfied' or 'unsatisfied' on retrieval results, an image retrieval system automatically carry out text marks on relevant satisfied images which are marked by the user to form high-level semantic information. Along with constant use of the user, the system can generate a rich semantic information database. Difference of different users to the text marks of the same image and difference of the same user to the text marks of the same image in different times are considered, and reliability of the users is combined in the process of generating the semantic information database. In retrieval, the comprehensive retrieval method based on the combination of the characteristics and the texts is utilized to carry out retrieval on the query images with semantic information, so that accuracy of the retrieval results is improved. The interactive type image retrieval method of combining the user evaluation and the labels has the advantages of being high in efficiency, high in accuracy and friendly in interactive mode.

Description

technical field [0001] The invention is an interactive image retrieval method combined with user evaluation and labeling, which belongs to the field of multimedia information retrieval. Background technique [0002] In recent years, with the development of information technology, the number of digital images has grown rapidly, and a large amount of image data is generated every day. How to quickly and accurately find and effectively use these images has become an urgent problem to be solved, which requires image retrieval technology. [0003] Text-based image retrieval technology began to appear in the 1970s, mainly using database management systems to manually label images, that is, to label keywords for each image, and use the original mature text retrieval system to manage and retrieve images. The main advantage of this method is that the retrieval speed is fast, but manual labeling is time-consuming, labor-intensive, highly subjective, and it is difficult to manually la...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 黄祥林杨丽芳曾南子韩卯辉
Owner COMMUNICATION UNIVERSITY OF CHINA
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