Title :
Research on Graphical Annotation and Retrieval of Image Semantic
Author :
Li, Qian-qian ; Yang, Ai-Min
Author_Institution :
Hunan Univ. of Technol., Zhuzhou
Abstract :
In order to solve the existing problems in image semantic retrieval, a whole content annotation and retrieval framework of image semantic is presented. Based on semantic description scheme in MPEG-7 standard, the graphical structure is used to implement content description of image semantic, and then the path information of semantic description graph is used to implement image retrieval. Experimental results indicate that the retrieval method presented in this paper can efficiently implement image retrieval based on semantic.
Keywords :
image retrieval; MPEG-7; graphical annotation; graphical structure; image retrieval; image semantic; Content based retrieval; Cybernetics; Educational institutions; Image converters; Image retrieval; Informatics; Information retrieval; MPEG 7 Standard; Machine learning; Natural languages; Graphical Annotation; Image semantic; MPEG-7; Semantic Retrieval;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370394
