Informace o publikaci

Visual Descriptors in Methods for Video Hyperlinking

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GALUŠČÁKOVÁ Petra BATKO Michal ČECH Jan MATAS Jiří NOVÁK David PECINA Pavel

Druh Článek ve sborníku
Konference Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Doi http://dx.doi.org/10.1145/3078971.3079026
Obor Informatika
Klíčová slova Video retrieval; Hyperlinking; Information retrieval; Image processing
Popis 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.
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