@inproceedings{11bd72ca4d4d4652abed57c8b0923741,
title = "Bridging the ultimate Semantic gap: A Semantic search engine for internet videos",
abstract = "Semantic search in video is a novel and challenging problem in information and multimedia retrieval. Existing solutions are mainly limited to text matching, in which the query words are matched against the textual metadata generated by users. This paper presents a state-of-the-art system for event search without any textual metadata or example videos. The system relies on substantial video content understanding and allows for semantic search over a large collection of videos. The novelty and practicality is demonstrated by the evaluation in NIST TRECVID 2014, where the proposed system achieves the best performance. We share our observations and lessons in building such a stateofthe-art system, which may be instrumental in guiding the design of the future system for semantic search in video.",
keywords = "0ex, Content-based retrieval, Multimedia event detection, Semantic search, Video search, Video understanding",
author = "Lu Jiang and Yu, \{Shoou I.\} and Deyu Meng and Teruko Mitamura and Hauptmann, \{Alexander G.\}",
note = "Publisher Copyright: {\textcopyright} Copyright 2015 ACM.; 5th ACM International Conference on Multimedia Retrieval, ICMR 2015 ; Conference date: 23-06-2015 Through 26-06-2015",
year = "2015",
month = jun,
day = "22",
doi = "10.1145/2671188.2749399",
language = "英语",
series = "ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval",
publisher = "Association for Computing Machinery",
pages = "27--34",
booktitle = "ICMR 2015 - Proceedings of the 2015 ACM International Conference on Multimedia Retrieval",
}