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PicSOM Experiments in TRECVID 2007

10 years 5 months ago
PicSOM Experiments in TRECVID 2007
Our experiments in TRECVID 2007 include participation in the high-level feature extraction, search, and video summarization tasks, using a common system framework based on multiple parallel Self-Organizing Maps (SOMs). In the high-level feature extraction task, we applied a method of representing semantic concepts as class models on parallel SOMs, combined with external text search results. This year, we introduced a further post-processing stage in which the concepts’ temporal and inter-concept co-occurrences were analyzed. We submitted the following six runs: • A_PicSOM_1_6: Required visual baseline • A_PicSOM_2_5: Visual features and text search • A_PicSOM_3_3: Visual features using variable convolution and text search • A_PicSOM_4_4: Visual features using variable convolution • A_PicSOM_5_2: Visual features, text search, and temporal context based on training set • A_PicSOM_6_1: Visual features, text search, and temporal context based on validation set The results sh...
Markus Koskela, Mats Sjöberg, Ville Viitaniem
Added 07 Nov 2010
Updated 07 Nov 2010
Type Conference
Year 2007
Where TRECVID
Authors Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Philip Prentis
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