Similar video search system based on feature data extraction

  • Authors:
  • Seoksoo Kim

  • Affiliations:
  • Department of Multimedia, Hannam University, Daejeon-city, Korea

  • Venue:
  • ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
  • Year:
  • 2010

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Abstract

This study introduces a similar video search system based on object detection data. The system detects feature objects of video thumbnails, obtained from a client using video edit and encoding program. The client transmits data such as an area of an object and a distance between feature points calculated from object outlines and features to a video server and, then, the server compares the data with object/video data of other videos in order to extract similar videos. The similar videos extracted are used to calculate a probability of a similar video and provide a list of similar videos in order to help users create original contents.