@inproceedings{32edcd3e50d54d24b39e80f02fc315ff,
title = "A Multimodal High Level Video Segmentation for Content Targeted Online Advertising",
abstract = "In this paper we introduce a novel advertisement system, dedicated to multimedia documents broadcasted over the Internet. The proposed approach takes into account the consumer{\textquoteright}s perspective and inserts contextual relevant ads at the level of the scenes boundaries, while reducing the degree of intrusiveness. From the methodological point of view, the major contribution of the paper concerns a temporal video segmentation method into scenes based on a multimodal (visual, audio and semantic) fusion of information. The experimental evaluation, carried out on a large dataset with more than 30 video documents validates the proposed methodology with average F1 scores superior to 85\%.",
keywords = "Advertisement insertion, Multimodal video analysis, Story detection, Temporal video segmentation",
author = "Bogdan Mocanu and Ruxandra Tapu and Titus Zaharia",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 15th International Symposium on Visual Computing, ISVC 2020 ; Conference date: 05-10-2020 Through 07-10-2020",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-64559-5\_40",
language = "English",
isbn = "9783030645588",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "506--517",
editor = "George Bebis and Zhaozheng Yin and Edward Kim and Jan Bender and Kartic Subr and Kwon, \{Bum Chul\} and Jian Zhao and Denis Kalkofen and George Baciu",
booktitle = "Advances in Visual Computing - 15th International Symposium, ISVC 2020, Proceedings",
}