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Annotated Free-Hand Sketches for Video Retrieval Using Object Semantics and Motion

  • Rui Hu
  • Stuart James
  • John Collomosse
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7131)

Abstract

We present a novel video retrieval system that accepts annotated free-hand sketches as queries. Existing sketch based video retrieval (SBVR) systems enable the appearance and movements of objects to be searched naturally through pictorial representations. Whilst visually expressive, such systems present an imprecise vehicle for conveying the semantics (e.g. object types) within a scene. Our contribution is to fuse the semantic richness of text with the expressivity of sketch, to create a hybrid ‘semantic sketch’ based video retrieval system. Trajectory extraction and clustering are applied to pre-process each clip into a video object representation that we augment with object classification and colour information. The result is a system capable of searching videos based on the desired colour, motion path, and semantic labels of the objects present. We evaluate the performance of our system over the TSF dataset of broadcast sports footage.

Keywords

Video Frame Medial Axis Salient Object Mean Average Precision Video Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Rui Hu
    • 1
  • Stuart James
    • 1
  • John Collomosse
    • 1
  1. 1.Centre for Vision, Speech and Signal Processing (CVSSP)University of SurreyGuildfordU.K.

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