Performance Characterization and Comparison of Video Indexing Algorithms

Temporal segmentation of video is a necessary rst step to indexing digital video for browsing and retrieval. A number of di erent video temporal segmentation algorithms have been published in the literature. There has been little e ort to evaluate and characterize their performance so as to deliver a single (or set of) algorithms that may be used by other researchers for indexing video databases. We present results of evaluating a number of these algorithms and characterizing their performance, speci cally with respect to robustness to encoder and bitrate changes. The lessons learnt have relevance to algorithm development and evaluation in general.

• Type: Conference
• Year: 1998
• Where: CVPR
• Authors: Ullas Gargi, Rangachar Kasturi, Sameer Antani
• Keywords: Computer Vision, CVPR 1998, Indexing Video Databases, Temporal Segmentation Algorithms