NHK STRL at TRECVID 2008: High-Level Feature Extraction and Surveillance Event Detection

NHK STRL at TRECVID 2009: Surveillance Event Detection and High-Level Feature Extraction

NHK Science and Technology Research Laboratories participated in two tasks at TRECVID 2009: surveillance event detection task and high level feature extraction task. For surveillance event detection tasks, we targeted four events: " P e r s o n R u n s " , " P e o p l e M e e t " , " O b j e c t P u t " , a n d "OpposingFlow". The proposed method detects human regions using HOG descriptor and S...

NHK STRL at TRECVID 2010: Semantic Indexing and Surveillance Event Detection

NHK STRL at TRECVID 2012: Semantic Indexing

TRECVID 2008 - Goals, Tasks, Data, Evaluation Mechanisms and Metrics

The TREC Video Retrieval Evaluation (TRECVID) 2008 is a Text REtrieval Conference (TREC)-style video analysis and retrieval evaluation, the goal of which remains to promote progress in content-based exploitation of digital video via open, metrics-based evaluation. Over the last 7 years this effort has yielded a better understanding of how systems can effectively accomplish such processing and h...

Informedia @ TRECVID2008: Exploring New Frontiers

The Informedia team participated in the tasks of Rushes summarization, high-level feature extraction and event detection in surveillance video. For the rushes summarization, our basic idea was to use subsampled video at the appropriate rate, showing almost the whole video faster, and then modify the result to remove garbage frames. Sinply subsampling the frames proved to be the best method for ...