- Segmentation is the first step in managing data for many information retrieval tasks. Automatic audio transcriptions and digital video footage are typically continuous data sources that must be pre-processed for segmentation into logical entities that can be stored, queried, and retrieved. Shot boundary detection is a common low-level video segmentation technique, where a video stream is divided into shots that are typically composed of similar frames. In this paper, we propose a new technique for finding cuts abrupt transitions that delineate shots that combines evidence from a fixed size window of video frames. We experimentally show that our techniques are accurate using the well-known trec experimental testbed.
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