Segmentation-based extraction of important objects from video for object-based indexing
2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings
1357 - 1360
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/26852
We describe a method to automatically extract important video objects for object-based indexing. Most of the existing salient object detection approaches detect visually conspicuous structures in images, while our method aims to find regions that may be important for indexing in a video database system. Our method works on a shot basis. We first segment each frame to obtain homogeneous regions in terms of color and texture. Then, we extract a set of regional and inter-regional color, shape, texture and motion features for all regions, which are classified as being important or not using SVMs trained on a few hundreds of example regions. Finally, each important region is tracked within each shot for trajectory generation and consistency check. Experimental results from news video sequences show that the proposed approach is effective. © 2008 IEEE.
Showing items related by title, author, creator and subject.
Automatic detection of salient objects and spatial relations in videos for a video database system Sevilmiş, T.; Baştan, M.; Güdükbay, U.; Ulusoy O. (2008)Multimedia databases have gained popularity due to rapidly growing quantities of multimedia data and the need to perform efficient indexing, retrieval and analysis of this data. One downside of multimedia databases is the ...
Töreyin, B.U.; Cinbiş, R.G.; Dedeoǧlu, Y.; Çetin, A.E. (2007)A novel method to detect flames in infrared (IR) video is proposed. Image regions containing flames appear as bright regions in IR video. In addition to ordinary motion and brightness clues, the flame flicker process is ...
Automatic extraction of important objects for an MPEG-7 compliant video database system [MPEG-7 uyumlu vi̇deo veri̇ tabanlari i̇çi̇n önemli̇ nesneleri̇n otomati̇k olarak bulunmasi] Baştan, M.; Güdükbay, U.; Ulusoy Ö. (2008)We describe a method to automatically extract video objects, which are important for object-based indexing of videos in an MPEG-7 compliant video database system. Most of the existing salient object detection approaches ...