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@inproceedings{1400884,
author = {Galuščáková, Petra and Batko, Michal and Čech, Jan and Matas, Jiří and Novák, David and Pecina, Pavel},
address = {New York, NY, USA},
booktitle = {Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval},
doi = {http://dx.doi.org/10.1145/3078971.3079026},
keywords = {Video retrieval; Hyperlinking; Information retrieval; Image processing},
howpublished = {paměťový nosič},
language = {eng},
location = {New York, NY, USA},
isbn = {978-1-4503-4701-3},
pages = {294-300},
publisher = {ACM},
title = {Visual Descriptors in Methods for Video Hyperlinking},
year = {2017}
}
TY - JOUR
ID - 1400884
AU - Galuščáková, Petra - Batko, Michal - Čech, Jan - Matas, Jiří - Novák, David - Pecina, Pavel
PY - 2017
TI - Visual Descriptors in Methods for Video Hyperlinking
PB - ACM
CY - New York, NY, USA
SN - 9781450347013
KW - Video retrieval
KW - Hyperlinking
KW - Information retrieval
KW - Image processing
N2 - In this paper, we survey different state-of-the-art visual processing methods and utilize them in hyperlinking. Visual information, calculated using Features Signatures, SIMILE descriptors and convolutional neural networks (CNN), is utilized as similarity between video frames and used to find similar faces, objects and setting. Visual concepts in frames are also automatically recognized and textual output of the recognition is combined with search based on subtitles and transcripts. All presented experiments were performed in the Search and Hyperlinking 2014 MediaEval task and Video Hyperlinking 2015 TRECVid task.
ER -
GALUŠČÁKOVÁ, Petra, Michal BATKO, Jan ČECH, Jiří MATAS, David NOVÁK and Pavel PECINA. Visual Descriptors in Methods for Video Hyperlinking. In \textit{Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval}. New York, NY, USA: ACM, 2017, p.~294-300. ISBN~978-1-4503-4701-3. Available from: https://dx.doi.org/10.1145/3078971.3079026.
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