research-article

Improving bag-of-words representation with efficient twin feature integration

Authors:

Hanli WangAuthors Info & Claims

ICIMCS '15: Proceedings of the 7th International Conference on Internet Multimedia Computing and Service

Article No.: 51, Pages 1 - 4

https://doi.org/10.1145/2808492.2808543

Published: 19 August 2015 Publication History

Abstract

In recent years, the Bag-of-Words (BoW) model has been widely used in most state-of-the-art large-scale image retrieval systems. However, the standard BoW based systems suffer from low discriminative power of local features as well as quantization errors that significantly affect the retrieval performance. In this paper, twin feature is employed and well combined with two advanced techniques including Hamming Embedding (HE) and Multiple Assignment (MA) to construct a discriminative image retrieval system on BoW representation in an efficient way. Experimental results on two benchmark datasets Oxford5k and Paris6k demonstrate that the proposed technique can greatly refine the visual matching process and enhance the final performance for image retrieval.

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Cited By

ul ain Ali QYousaf M(2018)Role of Spatio-Temporal Feature Position in Recognition of Human Vehicle InteractionTENCON 2018 - 2018 IEEE Region 10 Conference10.1109/TENCON.2018.8650232(0471-0476)Online publication date: Oct-2018
https://doi.org/10.1109/TENCON.2018.8650232
Wang LWang H(2017)Improving feature matching strategies for efficient image retrievalImage Communication10.1016/j.image.2017.02.00653:C(86-94)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1016/j.image.2017.02.006

Index Terms

Improving bag-of-words representation with efficient twin feature integration
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision representations
2. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment

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Published In

cover image ACM Other conferences

ICIMCS '15: Proceedings of the 7th International Conference on Internet Multimedia Computing and Service

August 2015

397 pages

ISBN:9781450335287

DOI:10.1145/2808492

General Chairs:
Ramesh Jain
University of California, Irvine
,
Shuqiang Jiang
Institute of Computing Technology, Chinese Academy of Sciences, China
,
Program Chairs:
John Smith
IBM Thomas J. Watson Research Center
,
Jitao Sang
Institute of Automation, Chinese Academy of Sciences, China
,
Guohui Li
National University of Defense Technology, China

Copyright © 2015 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 August 2015

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National Natural Science Foundation of China

Conference

ICIMCS '15

ICIMCS '15: International Conference on Internet Multimedia Computing and Service

August 19 - 21, 2015

Hunan, Zhangjiajie, China

Acceptance Rates

ICIMCS '15 Paper Acceptance Rate 20 of 128 submissions, 16%;

Overall Acceptance Rate 163 of 456 submissions, 36%

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Cited By

ul ain Ali QYousaf M(2018)Role of Spatio-Temporal Feature Position in Recognition of Human Vehicle InteractionTENCON 2018 - 2018 IEEE Region 10 Conference10.1109/TENCON.2018.8650232(0471-0476)Online publication date: Oct-2018
https://doi.org/10.1109/TENCON.2018.8650232
Wang LWang H(2017)Improving feature matching strategies for efficient image retrievalImage Communication10.1016/j.image.2017.02.00653:C(86-94)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1016/j.image.2017.02.006

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