Video Google: a text retrieval approach to object matching in videos

@article{Sivic2003VideoGA,
  title={Video Google: a text retrieval approach to object matching in videos},
  author={Josef Sivic and Andrew Zisserman},
  journal={Proceedings Ninth IEEE International Conference on Computer Vision},
  year={2003},
  pages={1470-1477 vol.2}
}
  • Josef Sivic, Andrew Zisserman
  • Published 2003
  • Computer Science
  • Proceedings Ninth IEEE International Conference on Computer Vision
  • We describe an approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video. The object is represented by a set of viewpoint invariant region descriptors so that recognition can proceed successfully despite changes in viewpoint, illumination and partial occlusion. The temporal continuity of the video within a shot is used to track the regions in order to reject unstable regions and reduce the effects of noise in the descriptors… CONTINUE READING
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    References

    SHOWING 1-10 OF 20 REFERENCES
    Automated Scene Matching in Movies
    • 79
    • PDF
    Content-based query of image databases: inspirations from text retrieval
    • 376
    • PDF
    Object recognition from local scale-invariant features
    • D. Lowe
    • Computer Science
    • Proceedings of the Seventh IEEE International Conference on Computer Vision
    • 1999
    • 14,904
    • PDF
    A Performance Evaluation of Local Descriptors
    • 5,075
    • PDF
    Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions
    • 578
    • PDF
    Reliable feature matching across widely separated views
    • A. Baumberg
    • Computer Science
    • Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662)
    • 2000
    • 760
    • PDF
    The Truth about Corel - Evaluation in Image Retrieval
    • 202
    • PDF
    Local feature view clustering for 3D object recognition
    • D. Lowe
    • Mathematics, Computer Science
    • Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
    • 2001
    • 557
    • PDF