Nagoya University at TRECVID 2014: the Instance Search Task.
Cai-Zhi Zhu, Yinqiang Zheng, Ichiro Ide, Shin’ichi Satoh, Kazuya Takeda · 2014
Abstract. This paper presents our recent progress on a video object retrieval system that participated in the Instance Search (INS) task of the TRECVID 2014. Basically the system is a further extension of our previous Bag-of-Words (BOW) framework, with emphasis on pursuing a practical spatial re-ranking method scalable to large video database this year. We take the asymmetrical dissimilarities based system, which performed best in the INS2013 task, as the baseline, and re-rank with an improved spatial verification method. Experiments carried out the TRECVID INS2013 and INS2014 consistently show that, our re-ranking algorithm is able to further improve the baseline system at a rather fast speed.