Image Semantics Based On Concept Lattice Automatic Annotation

Image semantic annotation is one of the most hot research issue in the fieldof image, and the BOV method is a typical image semantic annotation method,which has been applied widely. Most of the methods of image semanticannotation focus on how to extract more appropriate visual words, but ignore therelationship between the words and images. Concept lattice which is an effectivetool for data analysis, has the feature of intuition, completeness and concepthierarchy on knowledge representation, and has achieved good application effectin many fields. In the thesis, the method of image semantic automatic annotationis studied by using the concept lattice as semantic annotation tool. The mainresearch work is shown as follows:1A visual words reduction method is presented by using concept lattice asreduction tool. Firstly, feature points in images are extracted, and quantified intovisual words by using BOV image representation. Secondly, the visual words aretransformed into formal context among which images are used as object set,visual words as attribute set, and visual words are normalized as relationship ofobject and attribute. Thirdly the visual words are reduced through attributereduction to improve the precision of image semantic annotation. Instanceanalysis shows that the method can effectively simplify visual words.2A new model of image semantic annotation is presented based on conceptlattice. By using of the reduced form of concept lattice, the method firstlygenerates corresponding concept lattice structure. Then the important degree ofthe visual words is determined by the quantity of the extension. Finally thoseimportant words are used for image semantic annotation. Experimental resultsshow that the method can effectively carry out the image semantic annotation.3On the basis of the above research, the concept lattice based imagesemantic annotation prototype system is designed and implemented by usingMATLAB and JAVA as development tools, Oliva and Torralba 's image libraryas experimental data. The experiments show that the prototype system is feasibleand valuable.