计算机专业英语专业知识详解.pptVIP

Content-based Image Retrieval From the above historic overview, it can be seen how CBIR has evolved from low level image retrieval to region based image retrieval and to semantic image retrieval Databases Structure of CBIR Digital images Feature extraction User Query interface Search engine Image database Feature database Knowledge database Image Retrieval Methods Query by external pictorial example Brand search, finger mark search Query by internal pictorial example Query by sketch Keywords/captions Combination of the above methods Evaluation d b c a Precision Recall PVR Effectiveness Efficiency Flexibility A User Interface of Image Retrieval Future Direction Beyond text, audio, images, and video, there has been significant recent interest in new media such as 3D models The search for knowledge in all its forms is called Multimedia Information Retrieval (MIR) Semantic Web Think About… How did Tim Berners-Lee originally express the vision of the semantic web? What does it mean by “semantic web”? What purpose is the semantic web designed for? What components does the semantic web comprise? What does it mean by “ontology”? What Is Semantic Web? Tim Berners-Lee originally expressed the vision of the semantic web as follows: “I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A ‘Semantic Web’, which should make this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The ‘intelligent agents’ people have touted for ages will finally materialize. ” What Is Semantic Web? The semantic web is a vision of information that is understandable by computers, so that they can perform more of the tedious work involved in finding, sharing and combining information on the web The semantic web provides