UCF-CRCV at TRECVID 2013: Semantic indexing

Dehghan A., Shu G., Souli N., Li W., Pehlivan Tort S., Shah M., ...Daha Fazla

2013 TREC Video Retrieval Evaluation, TRECVID 2013, Maryland, Amerika Birleşik Devletleri, 20 - 22 Kasım 2013 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Maryland
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • TED Üniversitesi Adresli: Hayır

Özet

© 2013 TREC Video Retrieval Evaluation, TRECVID 2013. All rights reserved.This paper aims to report the system we used in semantic indexing (SIN) at TRECVID 2013. We participated in all three defined tasks this year, including main semantic indexing, localization and paired task. For the main task our approach uses a 4-stages processing pipeline. Feature extraction, fusion, classification and re-ranking are main stages of our system. For localization tasks we employed Deformable Part-based model followed by a saliency detection method to refine the initial detection candidates and finally for the paired task we use a simple fusion technique to select the right score for the concepts among the keyframes of a video-shot.