Segmentation, Content Extraction and Visualization of Broadcast News Video Using Multistream Analysis

Mark Maybury, Andrew Merlino and James Ravson

This paper reports the development of a broadcast news video corpora and novel techniques to automatically segment stories, extract proper names, and visualize associated metadata. We report story segmentation and proper name extraction results using an information retrieval inspired evaluation methodology, measuring the precision and recall performance of our techniques. We briefly describe our implementation of a Broadcast News Analysis (BNA’s) system and an associated viewer, Broadcast News Navigator (BNNTM). We point to current efforts toward more robust processing using multistream analysis on imagery, audio, and closed-caption streams and future efforts in automatic video summarization and user-tailored presentation generation.

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