An Interactive Image Retrieval Method Combining User Evaluation and Annotation

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...

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.

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