Annotation and indexing in the video management system VOM

This paper presents mechanisms for annotating and indexing video by keywords in the Video Object Management system, called VOM. In order to annotate video, an entire video is divided into its video clips, and keywords are assigned to them. These clips are represented in objects, and the objects are organized into a hierarchical data structure in sense of their playback order. Moreover, such objects include a collection of keywords for specifying each object. Then, one object is defined to concatenate several short clips. Keywords assigned to lower positioned objects are abstracted in proportion as this concatenation. The keywords of higher positioned objects are chosen from a collection of the keywords that are assigned into lower ones, or are associated from a set of existing keywords. VOM provides a mechanism to assist in keyword abstraction based on classification of keywords and objects. A collection of them is classified by latent semantic indexing. In addition, the classes consisting of the objects and their keywords are reflected the playback order of the objects.

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