Speech-based and video-supported indexing of multimedia broadcast news
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Fast and robust short video clip search using an index structure
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
A web-enabled video indexing system
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Extracting semantics from audio-visual content: the final frontier in multimedia retrieval
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
The high availability of video streams is making necessary mechanisms for indexing such contents in the Web world. In this paper we focus on news programs and we propose a mechanism that integrates low and high level video features to provide a high level semantic description. A color/luminance analysis is coupled with audio analysis to provide a better identification of all the video segments that compose the video stream. Each video segment is subject to speech detection and is described through MPEG7 so that the resulting metadata description can be used to index the video stream. An experimental evaluation shows the benefits of integrating audio and video analysis.