MODELING SEMANTIC CONCEPTS AND USER PREFERENCES IN CONTENT-BASED VIDEO RETRIEVAL

Author:

CHEN SHU-CHING1,ZHAO NA1,SHYU MEI-LING2

Affiliation:

1. Distributed Multimedia Information System Laboratory, School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA

2. Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA

Abstract

In this paper, a user-centered framework is proposed for video database modeling and retrieval to provide appealing multimedia experiences on the content-based video queries. By incorporating the Hierarchical Markov Model Mediator (HMMM) mechanism, the source videos, segmented video shots, visual/audio features, semantic events, and high-level user perceptions are seamlessly integrated in a video database. With the hierarchical and stochastic design for video databases and semantic concept modeling, the proposed framework supports the retrieval for not only single events but also temporal sequences with multiple events. Additionally, an innovative method is proposed to capture the individual user's preferences by considering both the low-level features and the semantic concepts. The retrieval and ranking of video events and the temporal patterns can be updated dynamically online to satisfy individual user's interest and information requirements. Moreover, the users' feedbacks are efficiently accumulated for the offline system training process such that the overall retrieval performance can be enhanced periodically and continuously. For the evaluation of the proposed approach, a soccer video retrieval system is developed, presented, and tested to demonstrate the overall retrieval performance improvement achieved by modeling and capturing the user preferences.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Linguistics and Language,Information Systems,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multimedia Databases and Data Management: A Survey;2012

2. Multimedia Databases and Data Management;Methods and Innovations for Multimedia Database Content Management;2012

3. Content-Based Retrieval of Videos;Semantic Computing;2010-07-20

4. Multimedia Databases and Data Management;International Journal of Multimedia Data Engineering and Management;2010-01

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