1 / 12

CLIPS-LIS-LSR Video search system (Grenoble, France)

CLIPS-LIS-LSR Video search system (Grenoble, France). Georges Quénot , Laurent Besacier, Mbarek Charhad Stephane Ayache, Daniel Moraru, Philippe Mulhem CLIPS-IMAG Denis Pellerin, Mickael Guironnet, LIS/SIC Jérôme Gensel, LSR/SIGMA Contact : Georges.Quenot@imag.fr.

skyler
Download Presentation

CLIPS-LIS-LSR Video search system (Grenoble, France)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CLIPS-LIS-LSR Video search system (Grenoble, France) Georges Quénot, Laurent Besacier, Mbarek Charhad Stephane Ayache, Daniel Moraru, Philippe Mulhem CLIPS-IMAG Denis Pellerin, Mickael Guironnet, LIS/SIC Jérôme Gensel, LSR/SIGMA Contact :Georges.Quenot@imag.fr

  2. CLIPS-LIS-LSR search system (Grenoble, France) http://korsakov1.imag.fr/cvsp/trecvid.html • 5 criteria: • Keywords from ASR • Visual similarity to query image (color & texture) • 15 semantic categories (P. Mulhem) • Visual similarity to positives from feedback • Temporal closeness to positives from feedback • User-weighted linear combination • Very fast and efficient feedback (optimized user interface and search server)

  3. CLIPS-LIS-LSR search system (Grenoble, France) Starting screen

  4. CLIPS-LIS-LSR search system (Grenoble, France) Topic presentation and first query

  5. CLIPS-LIS-LSR search system (Grenoble, France) Topic presentation and first query Topic Presentation Enlarged View Topic Text QueryInput Image Examples Video Examples

  6. CLIPS-LIS-LSR search system (Grenoble, France) Query reformulation and relevance feedback

  7. CLIPS-LIS-LSR search system (Grenoble, France) Query reformulation and relevance feedback Enlarged View Relevance Feedback QueryReformu-lation

  8. CLIPS-LIS-LSR search system (Grenoble, France) Query Input / Reformulation Select and weight query modes Enter Keywords Enter Example Image References

  9. CLIPS-LIS-LSR search system (Grenoble, France) Query Input / Reformulation Enter searched semantic features: Left: unwanted Central: neutral Right: desired

  10. CLIPS-LIS-LSR search system (Grenoble, France) Relevance Feedback Mark Negative Mark Unsure Mark Positive Play shot Search Similars Search Neighbors

  11. CLIPS-LIS-LSR search system (Grenoble, France) Evolution of MAP over time

  12. CLIPS-LIS-LSR search system (Grenoble, France) System / User performance • There is a significant variability of the system performance according to the user. • The relative user performance is consistent with the knowledge and the experience the user has of the system. • It is also most probable that the mother language as well as the cultural background of the users significantly affect the system/user performance. • None of the users here is an English native speaker. • None of them either is much familiar with the politics and sports in the US.

More Related