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SportSense: using motion queries to find scenes in sports videos

Authors:

Ihab Al Kabary,

Heiko SchuldtAuthors Info & Claims

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Pages 2489 - 2492

https://doi.org/10.1145/2505515.2508211

Published: 27 October 2013 Publication History

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Abstract

We present SportSense, a system for interactive sports video retrieval using sketch-based motion queries. SportSense is based on sports videos of games, enriched with an overlay of metadata that incorporates spatio-temporal information about various events and movements. We present how sketch-based motion queries are formulated and executed, as well as the use of various intuitive input interfaces to acquire the query object. The system uses spatio-temporal index structures to facilitate interactive response times.

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Cited By

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Kim JChoi DLee NBeane MKim J(2023)Surch: Enabling Structural Search and Comparison for Surgical VideosProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580772(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580772
Al Kabary ISchuldt H(2020)Scalable Sketch-Based Sport Video Retrieval in the CloudCloud Computing – CLOUD 202010.1007/978-3-030-59635-4_16(226-241)Online publication date: 18-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-59635-4_16
Kabary ISchuldt H(2014)Using Hand Gestures for Specifying Motion Queries in Sketch-Based Video RetrievalProceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 841610.5555/2964060.2964126(733-736)Online publication date: 13-Apr-2014
https://dl.acm.org/doi/10.5555/2964060.2964126
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Index Terms

SportSense: using motion queries to find scenes in sports videos
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. Information retrieval

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CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

October 2013

2612 pages

ISBN:9781450322638

DOI:10.1145/2505515

General Chairs:
Qi He
LinkedIn, USA
,
Arun Iyengar
IBM T.J. Watson Research Center, USA
,
Program Chairs:
Wolfgang Nejdl
L3S Research Center, Germany
,
Jian Pei
Simon Fraser University, Canada
,
Rajeev Rastogi
Amazon, India

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 27 October 2013

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October 27 - November 1, 2013

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CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Kim JChoi DLee NBeane MKim J(2023)Surch: Enabling Structural Search and Comparison for Surgical VideosProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580772(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580772
Al Kabary ISchuldt H(2020)Scalable Sketch-Based Sport Video Retrieval in the CloudCloud Computing – CLOUD 202010.1007/978-3-030-59635-4_16(226-241)Online publication date: 18-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-59635-4_16
Kabary ISchuldt H(2014)Using Hand Gestures for Specifying Motion Queries in Sketch-Based Video RetrievalProceedings of the 36th European Conference on IR Research on Advances in Information Retrieval - Volume 841610.5555/2964060.2964126(733-736)Online publication date: 13-Apr-2014
https://dl.acm.org/doi/10.5555/2964060.2964126
Sulser FGiangreco ISchuldt HRedi JLux M(2014)Crowd-based Semantic Event Detection and Video Annotation for Sports VideosProceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia10.1145/2660114.2660119(63-68)Online publication date: 7-Nov-2014
https://dl.acm.org/doi/10.1145/2660114.2660119
Al Kabary ISchuldt HGeva STrotman ABruza PClarke CJärvelin K(2014)Enhancing sketch-based sport video retrieval by suggesting relevant motion pathsProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609551(1227-1230)Online publication date: 3-Jul-2014
https://dl.acm.org/doi/10.1145/2600428.2609551
Kabary ISchuldt H(2013)Towards Sketch-Based Motion Queries in Sports VideosProceedings of the 2013 IEEE International Symposium on Multimedia10.1109/ISM.2013.60(309-314)Online publication date: 9-Dec-2013
https://dl.acm.org/doi/10.1109/ISM.2013.60

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Enhancing sketch-based sport video retrieval by suggesting relevant motion paths

Towards Sketch-Based Motion Queries in Sports Videos

Using Hand Gestures for Specifying Motion Queries in Sketch-Based Video Retrieval

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