tailieunhanh - Báo cáo hóa học: " Region-Based Image Retrieval Using an Object Ontology and Relevance Feedback"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Region-Based Image Retrieval Using an Object Ontology and Relevance Feedback | EURASIP Journal on Applied Signal Processing 2004 6 886-901 2004 Hindawi Publishing Corporation Region-Based Image Retrieval Using an Object Ontology and Relevance Feedback Vasileios Mezaris Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki 54124 Thessaloniki Greece Centre for Research and Technology Hellas CERTH Informatics and Telematics Institute ITI 57001 Thessaloniki Greece Email bmezaris@ Ioannis Kompatsiaris Electrical and Computer Engineering Department Aristotle University of Thessaloniki 54124 Thessaloniki Greece Centre for Research and Technology Hellas CERTH Informatics and Telematics Institute ITI 57001 Thessaloniki Greece Email ikom@ Michael G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki 54124 Thessaloniki Greece Centre for Research and Technology Hellas CERTH Informatics and Telematics Institute ITI 57001 Thessaloniki Greece Email strintzi@ Received 31 January 2003 Revised 3 September 2003 An image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segmentation algorithm to divide images into regions and endow the indexing and retrieval system with content-based functionalities. Low-level descriptors for the color position size and shape of each region are subsequently extracted. These arithmetic descriptors are automatically associated with appropriate qualitative intermediate-level descriptors which form a simple vocabulary termed object ontology. The object ontology is used to allow the qualitative definition of the high-level concepts the user queries for semantic objects each represented by a keyword and their relations in a humancentered fashion. When querying for a specific semantic object or objects the intermediate-level descriptor values associated with both the semantic