Video parsing and browsing using compressed data
Multimedia Tools and Applications
Omni-face detection for video/image content description
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Distance Learning with Digital Video
IEEE MultiMedia
Extracting Semantic Information from Basketball Video Based on Audio-Visual Features
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Semantic Video Retrieval Using Audio Analysis
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Video OCR: indexing digital new libraries by recognition of superimposed captions
Multimedia Systems - Special section on video libraries
Video Frame Categorization Using Sort-Merge Feature Selection
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
The Journal of Machine Learning Research
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast scene segmentation using multi-level feature selection
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Fast video retrieval under sparse training data
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Computable scenes and structures in films
IEEE Transactions on Multimedia
Doing FLIPS: flexible interactive presentation synchronization
IEEE Journal on Selected Areas in Communications
Concept-oriented indexing of video databases: toward semantic sensitive retrieval and browsing
IEEE Transactions on Image Processing
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The rapid growth and wide application of distance education have lead to the significant need for multimedia techniques and systems. It is difficult, however, to implement the interactions among the students or/and between the students and the teacher because of the huge volume of multimedia data. This paper presents a framework of the interactive multimedia system for distance learning of higher education with several novel characteristics. First, a hierarchical structure for multimedia system has been proposed to support personalized learning and teaching styles. Second, several feature selection algorithms have been used to support fast video classification and retrieval. Third, a novel asynchronous model has been provided to address the challenges issues of interaction in distance education. We analyze the performance of the system based on a real application of the self-study multimedia web page for the final exam of one university course.