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retrieval
Succesful participation of CERTH-ITI in interactive known-item video search of TRECVID 2012
CERTH-ITI participated to the Known-Item Search (KIS) Task of TRECVID 2012 with the interactive video retrieval engine VERGE. VERGE results achieved the second place, among the submissions made by all institutions participating to TRECVID 2012 KIS task (19 runs from 5 different institutions) with interactive systems. The latest version of VERGE supports advanced retrieval functionalities including visual similarity search, visual concept-based retrieval, video similarity based on PLSA and full text search, as well as two different representations (i.e. shot and video based). More information about VERGE is available here. Feel free to try on line the latest version of VERGE and search in the TRECVID 2012 KIS test data collection.
CERTH-ITI is the best in interactive known-item video search!
CERTH-ITI participated to the Known-Item Search (KIS) Task of TRECVID 2011 with the interactive video retrieval engine VERGE. VERGE produced the best results, among the submissions made by all institutions participating to TRECVID 2011 KIS task (12 runs from 4 different institutions) with interactive systems. The latest version of VERGE supports advanced retrieval functionalities including visual similarity search, visual concept-based retrieval, user implicit feedback-based fusion, video similarity based on PLSA and full text search. More information about VERGE is available here. Feel free to try on line the latest version of VERGE and search in the TRECVID 2011 KIS test data collection.
Introduction to the Special issue on Image and Video Retrieval: Theory and Applications
Yiannis Kompatsiaris, Stephane Marchand-Maillet, Roelof van Zwol and Sébastien Marcel, "Introduction to the Special issue on Image and Video Retrieval: Theory and Applications", Multimedia Tools and Applications, vol. 55, no. 1, pp. 1-6, October 2011.
Content-Based Binary Image Retrieval using the Adaptive Hierarchical Density Histogram
P. Sidiropoulos, S. Vrochidis, I. Kompatsiaris, "Content-Based Binary Image Retrieval using the Adaptive Hierarchical Density Histogram", Pattern Recognition Journal, Elsevier, Volume 44, Issue 4, pp 739-750, April 2011.
Towards Content-based Patent Image Retrieval; A Framework Perspective
Stefanos Vrochidis, Symeon Papadopoulos, Anastasia Moumtzidou, Panagiotis Sidiropoulos, Emanuelle Pianta, Ioannis Kompatsiaris, "Towards Content-based Patent Image Retrieval; A Framework Perspective", World Patent Information Journal, Volume 32, Issue 2, pp 94-106, June 2010.






