Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
C4.5: programs for machine learning
C4.5: programs for machine learning
Information storage and retrieval
Information storage and retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated generation of news content hierarchy by integrating audio, video, and text information
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
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This paper proposes a mechanism to integrate hierarchical video classification into video indexing systems seamlessly using video mixed media cues. Our approach centers on novel techniques that semiautomatically generate a media concept hierarchy using hierarchical classifiers to represent relevant video, audio and closed-caption text features for each video concept. Video classification functions, which directly connect low-level features with high-level semantic meanings for various applications, are first learned from training data using supervised learning algorithms for the hierarchical video concepts. The text classifier and video/audio classifier are constructed using independent learning algorithms and independent media streams of video. The joint classification fusion strategy is derived from Bayesian Theory and provides consistent and optimized classification results.