Personalized and synergistic integration network multimedia search and enquiry method

Abstract

The invention discloses a network multimedia searching and inquiry method integrating individualization and collaboration, which includes the following steps: (1) existing semantic information is adopted to automatically mark media object semanteme; (2) a user sub-file containing user information and personal preferences is established and a searching system sorts and optimizes the searched results according to the intention of the user; (3) the weight of each key phrase in the user sub-file is dynamically adjusted according to relevant feedbacks of the user so as to more accurately reflect the user intention; (4) a multi-layer sub-file mode respectively including the user sub-file, group sub-file and community sub-file is established and a succession and sharing mechanism is preserved between layers so as to both strive for sameness and allow the existence of difference and support a mass storage; (5) multi-modal information is converged and analyzed for multimedia semantic understanding so as to realize the cross-modal multimedia object searching. The invention can accurately learn about the intention of users and realize the high-accurate, individualized and cross-modal multimedia searching.

Description

technical field [0001] The invention relates to an online multimedia retrieval method based on user profiles, in particular to a cross-media retrieval method based on multimodal information fusion analysis and interactive retrieval. Background technique [0002] At present, the amount of information on the Internet is increasing rapidly at a rate of doubling every 1.6 years. With the rapid development of multimedia technology in the 1990s and the continuous emergence of new and effective multimedia coding technologies, a large amount of multimedia information such as video, audio and images has become an indispensable and important resource in the network. Faced with the increasing amount of multimedia information, it becomes very difficult to store, manage and utilize these information resources. For ordinary users, what they need to face is how to accurately and quickly retrieve the information they need from the vast ocean of information; for retrieval systems, it must b...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the existing mainstream network multimedia retrieval methods, the accuracy of content-based multimedia queries cannot be improved, similarity-based retrieval results are often meaningless to personalized users, and there is a gap between multimedia bottom-level features and high-level semantics. The efficiency is low, the user's intention cannot be accurately understood and the retrieval results are optimized and sorted according to the user's intention, and cross-modal media retrieval is not supported. The present invention provides a

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