A fast cube-based video shot retrieval using 3D moment-preserving technique

Wei Kan Huang*, Chi Han Chung, Shyi Chyi Cheng, Jun-Wei Hsieh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


In this paper, we describe a novel video shot retrieval where each shot is separated into multiple video cubes. Therefore, every video shot can be represented by a linear combination of video cubes, which are used to calculate the similarity measurements among video shots in terms of video cube similarity. The position of a voxel in a cube is characterized with (x, y, t) 3D coordinates and the spatial-temporal features within video cubes are extracted with a set of analytical formulas derived from the proposed 3D moment-preserving technique. Then, the content of a video cube is approximated by three blocks generated from projecting the cube onto xy, yt and tx planes. Based on the visual patterns of xy, yt, and tx blocks, a fast video shot retrieval scheme is proposed. As compared with other key-frame based representations, the proposed cube-based video retrieval improves the retrieval accuracy without sacrificing the execution speed. Experimental results show the efficiency and effectiveness of the proposed video retrieval.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Number of pages4
ISBN (Print)9781424456543
StatePublished - 1 Jan 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 7 Nov 200910 Nov 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2009 IEEE International Conference on Image Processing, ICIP 2009


  • 3D moment-preserving technique
  • Video cube
  • Video indexing
  • Video retrieval
  • Visual pattern

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