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Method for annotating images on basis of measurement of difference among non-Euclidean spaces

An image annotation and difference technology, applied in the field of image annotation

Active Publication Date: 2014-10-01
NANJING UNIV OF POSTS & TELECOMM
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  • Application Information

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Problems solved by technology

However, the first assumption is not always valid, because it is generally believed that image data is distributed in the semantic feature space and exists in a complex non-Euclidean space

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  • Method for annotating images on basis of measurement of difference among non-Euclidean spaces
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  • Method for annotating images on basis of measurement of difference among non-Euclidean spaces

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Embodiment Construction

[0048] The technical solution of the present invention will be further described in detail below with reference to the drawings and embodiments. The following examples are implemented on the premise of the technical solution of the present invention, and detailed implementation methods and processes are given. The specific implementation steps are as follows:

[0049] 1 measure of difference

[0050] From the perspective of human cognition, the difference between things is the basis for constructing different categories. When constructing different categories, an affine matrix is ​​usually constructed to describe the differences between pairs of things. These objects can be regarded as different points in a vector model space. There are two strategies to construct a vector model from a given difference matrix: improved Euclidean space and difference metric space. In the present invention, the difference measure between images is to improve the difference measure between images in...

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Abstract

The invention provides a method for annotating images on the basis of measurement of difference among non-Euclidean spaces. The method includes firstly, computing third-order difference features of the images by the aid of a high-order statistical process so as to achieve the purpose of effectively describing correlations among the images; secondly, estimating correlation values of each tag and image contents by the aid of a maximum a posterior algorithm on the basis of a Gaussian mixture model and incremental diffusion of the difference. The method has the advantage that problems that the quantities of digital images on shared websites of social media are rapidly increased, research enthusiasm of people for image semantic retrieval is greatly promoted, but satisfactory retrieval effects cannot be realized by a large quantity of existing technologies for automatically annotating images due to gaps among low-level features of the images and high-level semantic modes can be solved.

Description

Technical field [0001] The invention relates to an image labeling method in the field of computer technology, in particular to an image labeling method based on a non-Euclidean spatial difference measure. Background technique [0002] In recent years, the popularity of digital cameras has led to an exponential increase in the number of digital images uploaded to websites. With such a rapidly growing image database, there is an urgent need for content-based analysis technology to effectively organize, manage and make good use of these massive information resources. The key issue for constructing a successful content-based image retrieval system is how to establish a precise correspondence between the visual information at the perceptual level of the image and the annotation information at the semantic level. [0003] After searching the prior art literature, Duygulu et al. proposed a labeling method based on machine translation, Feng et al. proposed a labeling method based on Do Be...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/5866
Inventor 朱松豪罗青青孙伟梁志伟
Owner NANJING UNIV OF POSTS & TELECOMM