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This paper introduces a n object-based approach f o r temporal video partitioning and content-based indexing, where the basic indexing unit is "lifespan of a video object," rather t h a n a "camera shot" o r "story unit." W e propose a s y s t e m t o extract content-based features of video objects (VOs), based on a compact 2 0 triangular m e s h representation of them. An adaptive mesh-based video object tracking scheme is then e mployed to compute the motion trajectories of all node points. A set of "key snapshots" which constitute a visual s u m m a r y of the lifespan of the object are automatically selected using motion and shape information. T h e system provides direct access t o the VOs and gives the functionalities such as object-based search, manipulation, animation, and tracking.