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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...
We propose a dual-stage algorithm for fully-unsupervised and super-fast TV commercial mining in this paper. The two stages involved in process include: 1) searching for recurring short segments, and 2) assembling these short segments into sets of long and complete commercial sequences. The first stage is achieved by frame hashing. Different from the related studies that depend on brute-force pairwise...
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