Interactive Video Search: Where is the User in the Age of Deep Learning? (bibtex)
@InProceedings{Schoeffmann2018c, author = {Schöffmann, Klaus and Bailer, Werner and Gurrin, Cathal and Awad, George M. and Lokoč, Jakub}, title = {{Interactive Video Search: Where is the User in the Age of Deep Learning?}}, booktitle = {MM '18 Proceedings of the 26th ACM international conference on Multimedia}, year = {2018}, pages = {2101--2103}, address = {New York (NY)}, month = {Oktober}, publisher = {ACM Press}, abstract = {In this tutorial we discuss interactive video search tools and methods, review their need in the age of deep learning, and explore video and multimedia search challenges and their role as evaluation benchmarks in the field of multimedia information retrieval. We cover three different campaigns (TRECVID, Video Browser Showdown, and the Lifelog Search Challenge), discuss their goals and rules, and present their achieved findings over the last half-decade. Moreover, we talk about datasets, tasks, evaluation procedures, and examples of interactive video search tools, as well as how they evolved over the years. Participants of this tutorial will be able to gain collective insights from all three challenges and use them for focusing their research efforts on outstanding problems that still remain unsolved in this area.}, doi = {10.1145/3240508.3241473}, url = {https://dl.acm.org/citation.cfm?id=3241473} }
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