Advertisement
Published in:
2014 | OriginalPaper | Chapter
Research on Middle-Semantic Manifold Object Annotation
Authors : Wengang Feng, Shaozhong Wu
Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
A novel bionic, middle-semantic object annotation framework is presented in this paper. Moreover, we build the model based on the perception as defined by the human visual system. At first, the super-pixel is used to represent the images, and conditional random field could label each of the super-pixels, which means annotating the different classes of objects. In next step, on the basis of the previous result, image pyramid is used to represent the image, and get the sub-region of some objects of the same class. After extracting descriptor to represent the patches, all the patches are projected to a manifold, which could annotate the different views of objects from the same class. Experiments show that the bionic, middle-semantic object annotation framework could obtain superior results with respect to accuracy, and it could verify the correctness of WordNet indirectly.