Image annotation method and device thereof

Abstract

The embodiment of the invention provides an image annotation method and a device thereof. The image annotation method comprises the steps that an initial label set comprising a plurality of labels is obtained for an input image; the label set based similarity degree between the label set of the input image and a label set of a comparison image stored in a data base is calculated; the label set based similarity degree and the vision based similarity degree are subjected to consolidation, so as to obtain the consolidated similarity degree between the input image and the comparison image; and the label set of the input image is updated based on the consolidated similarity degree. According to the embodiment of the invention, low level characteristics and high level semantics of the image can be considered at the same time; the precision of image annotation can be improved; the automatic label annotation is realized; and the annotation efficiency is improved.

Description

technical field [0001] The invention relates to the field of image classification and retrieval, in particular to an image labeling method and device thereof. Background technique [0002] With the development of computer networks and multimedia technologies, the amount of multimedia information available on the Internet has also grown very rapidly. While the surge of multimedia information provides users with rich resources, how to quickly and effectively obtain the resources of interest from the massive information also brings great challenges to researchers. Therefore, image classification and retrieval technology has been paid more and more attention. [0003] Content-Based Image Retrieval (CBIR, Content-Based Image Retrieval) technology has been extensively studied since it was proposed in the 1990s. Other images that are visually similar can be retrieved by indexing the image's own visual content features (such as underlying features such as color, texture, shape, an...

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Problems solved by technology

[0006] However, in the process of realizing the present invention, the inventors found that the defects of the prior art are: at present, due to the distance between the low-level features of the image and the high-level semantics, the accuracy of image annotation is low; and if only human-computer interaction or manual methods are used to Annotating images is inefficient and burdens users heavily

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