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Instance classification with prototype selection

Published: 01 April 2014 Publication History

Abstract

We address the problem of instance classification: our goal is to annotate images with tags corresponding to objects classes which exhibit small intra-class variations such as logos, products or landmarks. We propose a novel algorithm for the selection of class-specific prototypes which are used in a voting-based classification scheme. We show significant improvements over two state-of-the-art methods, namely the Fisher vector and Hamming Embedding, on two challenging methods of logos and vehicles.

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Cited By

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  • (2021)Quicker ADC : Unlocking the Hidden Potential of Product Quantization With SIMDIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2019.295260643:5(1666-1677)Online publication date: 1-May-2021
  • (2019)Weakly supervised segment annotation via expectation kernel density estimationIET Computer Vision10.1049/iet-cvi.2018.532513:4(435-441)Online publication date: 8-May-2019
  • (2017)Accelerated Nearest Neighbor Search with Quick ADCProceedings of the 2017 ACM on International Conference on Multimedia Retrieval10.1145/3078971.3078992(159-166)Online publication date: 6-Jun-2017
  • Show More Cited By

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Information

Published In

cover image ACM Other conferences
ICMR '14: Proceedings of International Conference on Multimedia Retrieval
April 2014
564 pages
ISBN:9781450327824
DOI:10.1145/2578726
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 2014

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Author Tags

  1. Computer vision
  2. feature selection
  3. image classification

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  • Tutorial
  • Research
  • Refereed limited

Conference

ICMR '14
ICMR '14: International Conference on Multimedia Retrieval
April 1 - 4, 2014
Glasgow, United Kingdom

Acceptance Rates

ICMR '14 Paper Acceptance Rate 21 of 111 submissions, 19%;
Overall Acceptance Rate 254 of 830 submissions, 31%

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Cited By

View all
  • (2021)Quicker ADC : Unlocking the Hidden Potential of Product Quantization With SIMDIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2019.295260643:5(1666-1677)Online publication date: 1-May-2021
  • (2019)Weakly supervised segment annotation via expectation kernel density estimationIET Computer Vision10.1049/iet-cvi.2018.532513:4(435-441)Online publication date: 8-May-2019
  • (2017)Accelerated Nearest Neighbor Search with Quick ADCProceedings of the 2017 ACM on International Conference on Multimedia Retrieval10.1145/3078971.3078992(159-166)Online publication date: 6-Jun-2017
  • (2017)Real-Time Single-Shot Brand Logo Recognition2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)10.1109/SIBGRAPI.2017.24(134-140)Online publication date: Oct-2017
  • (2016)Spatially Localized Visual Dictionary LearningProceedings of the 2016 ACM on International Conference on Multimedia Retrieval10.1145/2911996.2912070(367-370)Online publication date: 6-Jun-2016
  • (2016)Automatic web page logo detection (Logo matching using semantic relevance feedback)2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)10.1109/SCOPES.2016.7955774(1888-1893)Online publication date: Oct-2016
  • (2016)Logo localization and recognition in natural images using homographic class graphsMachine Vision and Applications10.1007/s00138-015-0741-727:2(287-301)Online publication date: 1-Feb-2016
  • (2015)DigInPixProceedings of the 5th ACM on International Conference on Multimedia Retrieval10.1145/2671188.2749369(661-664)Online publication date: 22-Jun-2015
  • (2015)Kernelizing Spatially Consistent Visual Matches for Fine-Grained ClassificationProceedings of the 5th ACM on International Conference on Multimedia Retrieval10.1145/2671188.2749328(155-162)Online publication date: 22-Jun-2015
  • (2014)Recognizing Thousands of Legal Entities through Instance-based Visual ClassificationProceedings of the 22nd ACM international conference on Multimedia10.1145/2647868.2655038(1029-1032)Online publication date: 3-Nov-2014
  • Show More Cited By

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