Image area labeling method based on visual semantic relation graph

A technology of image region and semantic relationship, applied in the field of image semantic understanding, can solve problems affecting the accuracy of image region labeling algorithms

Active Publication Date: 2018-04-27
EAST CHINA UNIV OF SCI & TECH
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Problems solved by technology

[0002] The amount of image data in today's society is huge, and image automatic labeling technology has become an important way for people to retrieve and manage image data. However, due to the existence of t

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  • Image area labeling method based on visual semantic relation graph
  • Image area labeling method based on visual semantic relation graph
  • Image area labeling method based on visual semantic relation graph

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[0018] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0019] figure 1 It is a schematic flowchart of an image region labeling method based on a visual semantic relationship graph provided by the present invention, and the labeling method includes 4 units.

[0020] Unit 100 is the construction of the image global similarity subgraph and the image region similarity subgraph. Taking the image as a unit, extract the global visual features of the image: SIFT feature, HSVH feature, color moment feature and Gabor feature, and use the bag of words model to represent the image content. Use Euclidean distance to calculate the correlation of global visual features between images to obtain a global similarity subgraph, such as image 3 shown. Taking the image area as a unit, extract the visual features of the image area: HSVH feature, color moment feature and Gabor feature, and use the bag of words m...

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Abstract

The invention discloses an image labeling algorithm based on a visual sense and semantics and the algorithm can be used to realize automatic labeling of an image area. An image area labeling algorithmbased on a visual semantic relation graph comprises two portions: construction of the visual semantic relation graph and image labeling based on the visual semantic relation graph. In the visual semantic relation graph construction, a global similarity and an area similarity among images, semantic association of image area labels and association among levels are considered. On the constructed visual semantic relation graph, semi-supervised learning is performed, an association degree between an unlabeled image area and the image area labels is acquired and label prediction is performed on theunlabeled image area.

Description

technical field [0001] The invention belongs to the field of image semantic understanding, and in particular relates to an image region labeling method based on a visual semantic relationship graph. Background technique [0002] The amount of image data in today's society is huge, and image automatic labeling technology has become an important way for people to retrieve and manage image data. However, due to the existence of the "semantic gap", the accuracy of traditional image region labeling algorithms has been seriously affected. This invention proposes a Image Region Labeling Method Based on Visual Semantic Relationship Graph. [0003] There are image visual feature similarities between images globally, image visual feature similarity between image regions, and semantic correlation between image tags. These information are helpful for image region labeling and understanding. Therefore, the present invention proposes a A visual-semantic relationship diagram that effectiv...

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/56G06V10/462G06F18/24
Inventor 张静陶提穆亚昆王喆赵贤文陈美
Owner EAST CHINA UNIV OF SCI & TECH
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