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TOP-SURF: a visual words toolkit

Authors:

Bart Thomee,

Erwin M. Bakker,

Michael S. LewAuthors Info & Claims

MM '10: Proceedings of the 18th ACM international conference on Multimedia

Pages 1473 - 1476

https://doi.org/10.1145/1873951.1874250

Published: 25 October 2010 Publication History

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Abstract

TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of content-based image retrieval applications in mind. TOP-SURF offers the flexibility to vary descriptor size and supports very fast image matching. In addition to the source code for the visual word extraction and comparisons, we also provide a high level API and very large pre-computed codebooks targeting web image content for both research and teaching purposes.

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Huang WLiu WJia X(2022)Scene Parsing via Tree Structure Enhancement Lightweight Network2022 International Conference on Intelligent Education and Intelligent Research (IEIR)10.1109/IEIR56323.2022.10050053(177-182)Online publication date: 18-Dec-2022
https://doi.org/10.1109/IEIR56323.2022.10050053
Gorokhovatskyi OGorokhovatskyi VPeredrii O(2018)Analysis of Application of Cluster Descriptions in Space of Characteristic Image FeaturesData10.3390/data30400523:4(52)Online publication date: 14-Nov-2018
https://doi.org/10.3390/data3040052
Lee YBang S(2018)Improved image retrieval and classification with combined invariant features and color descriptorJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-018-0817-010:6(2255-2264)Online publication date: 21-May-2018
https://doi.org/10.1007/s12652-018-0817-0
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Index Terms

TOP-SURF: a visual words toolkit
1. Information systems
  1. Information retrieval
2. Software and its engineering

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Published In

MM '10: Proceedings of the 18th ACM international conference on Multimedia

October 2010

1836 pages

ISBN:9781605589336

DOI:10.1145/1873951

General Chairs:
Alberto del Bimbo
University of Florence, Italy
,
Shih-Fu Chang
Columbia University, USA
,
Program Chair:
Arnold Smeulders
University of Amsterdam, NL

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Association for Computing Machinery

New York, NY, United States

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Published: 25 October 2010

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MM '10: ACM Multimedia Conference

October 25 - 29, 2010

Firenze, Italy

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Huang WLiu WJia X(2022)Scene Parsing via Tree Structure Enhancement Lightweight Network2022 International Conference on Intelligent Education and Intelligent Research (IEIR)10.1109/IEIR56323.2022.10050053(177-182)Online publication date: 18-Dec-2022
https://doi.org/10.1109/IEIR56323.2022.10050053
Gorokhovatskyi OGorokhovatskyi VPeredrii O(2018)Analysis of Application of Cluster Descriptions in Space of Characteristic Image FeaturesData10.3390/data30400523:4(52)Online publication date: 14-Nov-2018
https://doi.org/10.3390/data3040052
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Wu SOerlemans ABakker ELew M(2017)A comprehensive evaluation of local detectors and descriptorsSignal Processing: Image Communication10.1016/j.image.2017.06.01059(150-167)Online publication date: Nov-2017
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Regions of Interest Extraction Based on Visual Saliency in Compressed Domain

Toward a higher-level visual representation for content-based image retrieval

Toward a higher-level visual representation for content-based image retrieval

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