Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Real-time goal-mouth detection in MPEG soccer video
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
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Lots of technologies have been developed for image processing. How to adapt such technologies in video analysis to achieve a balance between accuracy and computational complexity of frame analysis for video is necessary to be studied carefully. In this paper, we propose such a framework for soccer video frames. In this framework, we first predefined 7 classes, each of which is assigned a Semantic Descriptor (SD) to delineate its semantic meaning; then two-level analyses, local-level (called block-level) and frame-level, are done to each P frame to classify it into one of 7 categories so that the corresponding SD of a category indicates the semantic meaning of the P frame. The results, which is 80.8% in average, shows the robustness of the proposed method in accuracy; Combining with the processing speed, which is 21frames per second, shows that this framework researches the balance and is very promising.