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2005
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Semantic Indexing for Instructional Video Via Combination of Handwriting Recognition and Information Retrieval

9 years 5 months ago
Semantic Indexing for Instructional Video Via Combination of Handwriting Recognition and Information Retrieval
Efficient indexing and retrieval of digital videos are important needs within instructional video databases. Semantic indexing for instructional videos can be achieved by combining the analysis of the instructor’s handwriting in the video with domain knowledge taken from course support materials such as the course textbook, syllabus, or slides. We propose such a semantic indexing method, by combining handwritten word recognition with information retrieval techniques. We first present a novel handwritten word segmentation and recognitionapproach for instructional videos. Then we construct a table-of-contents (TOC) structure from course materials. We use word recognition results to query the TOC, implemented as matrix operations, and spot the most likely discussed chapters and topic words for each video. We evaluate the overall approach on 12 videos of two courses, and the results are encouraging.
Lijun Tang, John R. Kender
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICMCS
Authors Lijun Tang, John R. Kender
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