Scalable Sketch-based Sport Video Retrieval in the Cloud

Al Kabary, Ihab and Schuldt, Heiko. (2020) Scalable Sketch-based Sport Video Retrieval in the Cloud. In: Cloud Computing – CLOUD 2020. 13th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Honolulu, HI, USA, September 18-20, 2020, Proceedings. Cham, pp. 226-241.

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Official URL: https://edoc.unibas.ch/81634/

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Content-based video retrieval in general and in sport videos in particular has attracted an increasing interest in the past few years, due to the growing interest in sports analytics. Especially sketch-based queries, enabling spatial search in video collections, are increasingly being demanded by coaches and analysts in team sports as an essential tool for game analysis. Although there has been great progress in the last years in the field of sketch-based retrieval in sports, most approaches focus on functional aspects and only consider just a very limited number of games. The problem is to scale these systems to allow for interactive video retrieval on a large game collection, beyond single games. In this paper, we show how SportSense, our sketch-based video retrieval system, can be deployed and scaled-out in the Cloud, allowing managers and analysts to interactively search for scenes of their choice within a large collection of games. In our evaluations, we show how the system can scale to a collection of the size of an entire season with response times that enable real-time analysis.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Databases and Information Systems (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Abdelmaksoud, Ihab Mohammad Elkabary
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Series Name:Lecture Notes in Computer Science
Issue Number:12403
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:02 Feb 2021 13:22
Deposited On:02 Feb 2021 13:22

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