LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Lookapp: interactive construction of web-based concept detectors
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
A flexible environment for multimedia management and publishing
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
An efficient automatic video shot size annotation scheme
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
A unified framework for semantic shot classification in sports video
IEEE Transactions on Multimedia
Hi-index | 0.00 |
This paper describes a system developed for the semi- automatic annotation of keyframes in a broadcasting company. The tool aims at assisting archivists who traditionally label every keyframe manually by suggesting them an automatic annotation that they can intuitively edit and validate. The system is valid for any domain as it uses generic MPEG-7 visual descriptors and binary SVM classifiers. The classification engine has been tested on the multiclass problem of semantic shot detection, a type of metadata used in the company to index new content ingested in the system. The detection performance has been tested in two different domains: soccer and parliament. The core engine is accessed by a Rich Internet Application via a web service. The graphical user interface allows the edition of the suggested labels with an intuitive drag and drop mechanism between rows of thumbnails, each row representing a different semantic shot class. The system has been described as complete and easy to use by the professional archivists at the company.