TV Content Segmentation, Categorization and Identification and Time-Aligned Applications
a technology for tv content and time-aligned applications, applied in the field of video and audio multimedia processing, can solve the problems of traditional content identification applications such as audience measurement, broadcast monitoring, play out verification, and limited deployment scale for a limited number of clients
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[0033]The present invention will now be described more fully with reference to the accompanying drawings, in which several embodiments of the invention are shown. This invention may, however, be embodied in various forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
[0034]A prior art segmentation system is described in a paper “Recognizing Commercials in Real-Time using Three Visual Descriptors and a Decision-Tree”, by Ronald Glasberg, Cengiz Tas, and Thomas Sikora, at ICME 2006 pages 1481-1484. The Glasberg et al. reference uses a hard cut, a static area (SArea), and a separating block (SBlock) descriptors. The hard cut descriptor is generated from the appearance of several monochrome black frames between each commercial block. In this context Lienhart et al. in “On the Detectio...
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