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Image annotation method combined with image internal space relation and visual symbiosis relation

A technology of symbiotic relationship and internal space, applied in the field of image processing, can solve problems such as not being able to be used at the same time, and achieve the effect of improving accuracy and good image labeling accuracy

Inactive Publication Date: 2012-06-13
NANJING UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

However, the existing image annotation methods cannot simultaneously utilize various contextual information in the image.

Method used

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  • Image annotation method combined with image internal space relation and visual symbiosis relation
  • Image annotation method combined with image internal space relation and visual symbiosis relation
  • Image annotation method combined with image internal space relation and visual symbiosis relation

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Embodiment Construction

[0021] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0022] When the hidden Dirichlet distribution model is used to detect, identify and locate the target in the image, the spatial position information between the various regions in the image is ignored, and the visual features of each region need to be quantified, which can only be processed Discretized visual keywords, and the first-order Markov network model can handle continuous-valued visual features (or feature vectors), and can handle the spatial relationship between...

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Abstract

The invention discloses an image annotation method combined with an image internal space relation and a visual symbiosis relation. The method consists of image segmentation, characteristic extraction and an annotation algorithm, and comprises the following steps of: firstly, segmenting an image into a plurality of regions by using an over-segmentation method; secondly, extracting the visual characteristics of each region; and lastly, establishing an image annotation classifying model by using context information such as a space position relation, the visual symbiosis relation and the like among regions in an image. The image annotation method has the advantages that: the image annotation accuracy is high, and the accuracy of image annotation can be increased by fully and effectively usingtwo kinds of different context information of the space position relation and the visual symbiosis relation in the image.

Description

technical field [0001] The invention relates to an image tagging algorithm based on context information, in particular to an image tagging method combining the internal spatial relationship and visual co-occurrence relationship of an image, and belongs to the technical field of image processing. Background technique [0002] With the development of Internet and digital image technology, the massive increase of image data is a huge challenge to the organization, analysis, retrieval and management of images. People's interest in the semantic concepts contained in images has reached an unprecedented scale, so there is an urgent need for an image management method that conforms to human perception and cognitive mechanisms and is based on semantic concept understanding. Image annotation can solve the "semantic gap" problem in image retrieval to a certain extent by establishing the mapping relationship between low-level visual features and high-level semantics. Image annotation c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
Inventor 郭乔进李宁丁轶
Owner NANJING UNIV
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