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We describe a system based on exact-duplicate matching for detecting and localizing TV commercials in a video stream, clustering the exact duplicates, and detecting duplicate exact-duplicate clusters across video streams. A two-stage temporal recurrence hashing algorithm is used for the detection, localization, and clustering. The algorithm is fully unsupervised, generic, and ultrahigh speed. Another...
We propose two novel algorithms for fully-unsupervised, super-fast, and cross-channel TV commercial mining in this paper. The tasks involved in the process include: 1) mining commercial clusters from streams of individual channels, and 2) grouping identical commercial clusters across multiple channels. The first process is achieved with a dual-stage hashing algorithm, which searches for recurring...
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