WasedA at TRECVID 2016: Ad-hoc video search

Kazuya Ueki*, Kotaro Kikuchi, Susumu Saito, Tetsunori Kobayashi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)


Waseda participated in the TRECVID 2016 Ad-hoc Video Search (AVS) task [1]. For the AVS task, we submitted four manually assisted runs. Our approach used the following processing steps: manually creating several search keywords based on the given query phrase, calculating a score for each concept using visual features, and combining the semantic concepts to obtain the final scores. Our best run achieved a mean Average Precision (mAP) of 17.7%. It was ranked the highest among all the runs submitted.

Original languageEnglish
Publication statusPublished - 2016
Event2016 TREC Video Retrieval Evaluation, TRECVID 2016 - Gaithersburg, United States
Duration: 2016 Nov 142016 Nov 16


Conference2016 TREC Video Retrieval Evaluation, TRECVID 2016
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Electrical and Electronic Engineering


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