Hierarchical Navigation and Visual Search for Video Keyframe Retrieval

  • Carles Ventura
  • Manel Martos
  • Xavier Giró-i-Nieto
  • Verónica Vilaplana
  • Ferran Marqués
Conference paper

DOI: 10.1007/978-3-642-27355-1_67

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7131)
Cite this paper as:
Ventura C., Martos M., Giró-i-Nieto X., Vilaplana V., Marqués F. (2012) Hierarchical Navigation and Visual Search for Video Keyframe Retrieval. In: Schoeffmann K., Merialdo B., Hauptmann A.G., Ngo CW., Andreopoulos Y., Breiteneder C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg

Abstract

This work presents a browser that supports two strategies for video browsing: the navigation through visual hierarchies and the retrieval of similar images. The input videos are firstly processed by a keyframe extractor to reduce the temporal redundancy and decrease the number of elements to consider. These generated keyframes are hierarchically clustered with the Hierachical Cellular Tree (HCT) algorithm, an indexing technique that also allows the creation of data structures suitable for browsing. Different clustering criteria are available, in the current implementation, based on four MPEG-7 visual descriptors computed at the global scale. The navigation can directly drive the user to find the video timestamps that best match the query or to a keyframe which is globally similar in visual terms to the query. In the latter case, a visual search engine is also available to find other similar keyframes, based as well on MPEG-7 visual descriptors.

Keywords

Video browser Hierarchical Navigation Image retrieval 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Carles Ventura
    • 1
  • Manel Martos
    • 1
  • Xavier Giró-i-Nieto
    • 1
  • Verónica Vilaplana
    • 1
  • Ferran Marqués
    • 1
  1. 1.Technical University of Catalonia (UPC)BarcelonaSpain

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