A Survey of Extended Methods to the Bag of Visual Words for Image Categorization and Retrieval

Mouna Dammak, Mahmoud Mejdoub, Chokri Ben Amar

Abstract

The semantic gap is a crucial issue in the enhancement of computer vision. The user longs for retrieving images on a semantic level, but the image characterizations can only give a low-level similarity. As a result, recording a stage medium between high-level semantic concepts and low-level visual features is a stimulating task. A recent work, called Bag of visual Words (BoW) have arisen to resolve this difficulty in greater generality through the conception of techniques genius relevantly learning semantic vocabularies. In spite of its clarity and effectiveness, the building of a codebook is a critical step which is ordinarily performed by coding and pooling step. Yet, it is still difficult to build a compact codebook with shortened calculation cost. For that, several approaches try to overcome these difficulties and to improve image representation. In this paper, we introduce a survey investigates to cover the inadequacy of a full description of the most important public approaches for image categorization and retrieval.

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Paper Citation


in Harvard Style

Dammak M., Mejdoub M. and Ben Amar C. (2014). A Survey of Extended Methods to the Bag of Visual Words for Image Categorization and Retrieval . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 676-683. DOI: 10.5220/0004750506760683


in Bibtex Style

@conference{visapp14,
author={Mouna Dammak and Mahmoud Mejdoub and Chokri Ben Amar},
title={A Survey of Extended Methods to the Bag of Visual Words for Image Categorization and Retrieval},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={676-683},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004750506760683},
isbn={978-989-758-004-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - A Survey of Extended Methods to the Bag of Visual Words for Image Categorization and Retrieval
SN - 978-989-758-004-8
AU - Dammak M.
AU - Mejdoub M.
AU - Ben Amar C.
PY - 2014
SP - 676
EP - 683
DO - 10.5220/0004750506760683