Multimedia event-based video indexing using time intervals
- 18 July 2005
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Multimedia
- Vol. 7 (4), 638-647
- https://doi.org/10.1109/tmm.2005.850966
Abstract
We propose the time interval multimedia event (TIME) framework as a robust approach for classification of semantic events in multimodal video documents. The representation used in TIME extends the Allen temporal interval relations and allows for proper inclusion of context and synchronization of the heterogeneous information sources involved in multimodal video analysis. To demonstrate the viability of our approach, it was evaluated on the domains of soccer and news broadcasts. For automatic classification of semantic events, we compare three different machine learning techniques, i.c. C4.5 decision tree, maximum entropy, and support vector machine. The results show that semantic video indexing results significantly benefit from using the TIME framework.Keywords
This publication has 23 references indexed in Scilit:
- Automatic soccer video analysis and summarizationIEEE Transactions on Image Processing, 2003
- Soccer highlights detection and recognition using HMMsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Time interval maximum entropy based event indexing in soccer videoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Document understanding for a broad class of documentsInternational Journal on Document Analysis and Recognition (IJDAR), 2002
- Semantic indexing of multimedia documentsIEEE MultiMedia, 2002
- Indexing for reuse of TV news shotsPattern Recognition, 2002
- Statistical pattern recognition: a reviewIeee Transactions On Pattern Analysis and Machine Intelligence, 2000
- Automatic Video Indexing Based on Shot ClassificationLecture Notes in Computer Science, 1999
- Content-based video indexing of TV broadcast news using hidden Markov modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Maintaining knowledge about temporal intervalsCommunications of the ACM, 1983