Image annotation reinforcing method based on user information modeling

A technology for image annotation and user information, applied in the field of information retrieval, can solve the problems of ignoring the role of user information, inaccurate and incomplete original annotation, etc.

Active Publication Date: 2013-07-31
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the original annotation is generated by the user, and the inaccuracy, incompleteness and subjective ambiguity of the original annotation are also caused by the user's behavior pattern. The existing methods ignore the role of user information in the annotation process

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  • Image annotation reinforcing method based on user information modeling
  • Image annotation reinforcing method based on user information modeling
  • Image annotation reinforcing method based on user information modeling

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Embodiment Construction

[0022] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0023] The invention considers the role of user information in the process of image annotation, and realizes an image annotation enhancement method based on user information modeling. The method of the present invention makes full use of various interactive behaviors among users, images, and annotations in the image sharing website, reconstructs the relationship between users, images, and annotations from the perspective of factor analysis, and obtains compact images and annotations. The annotation representation is used for annotation enhancement of images. On large-scale network data sets, compared with traditional image annotation enhancement methods, the method of the present invention can obtain better annotation enh...

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Abstract

The invention discloses an image annotation reinforcing method based on user information modeling, which comprises the steps of: firstly, representing an original relationship of a user, an image and an annotation into a three-order tensor; then representing the observed original annotation into a positive and negative sample pair, decomposing the tensor until an ordering relation of the positiveand negative sample pair is minimized; and finally, carrying out subspace alternation by using a core tensor and a factor matrix obtained through decomposition to obtain image and annotation representations on a common subspace. The condition that large-scale pictures share website data proves that the image annotation reinforcing method obtains a better annotation reinforcing effect.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and relates to image retrieval based on content, in particular to a method for user modeling and enhancement in image annotation. Background technique [0002] Content-based image retrieval (CBIR) has gone through three stages: query by example, query by surrounding text and query by tag. Retrieval is truly semantic-based and is considered the most promising solution to the problem of semantic gap. With the rise of media sharing websites, users will provide annotations for pictures during the process of uploading pictures; however, these original annotation information has problems such as inaccuracy, incompleteness and subjective ambiguity, which affect the efficiency of image retrieval. Image annotation enhancement aims to process the original annotations, remove noise, supplement missing annotations, and make them better serve image retrieval tasks. [0003] The image annotatio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 徐常胜桑基韬
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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