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A novel fusion approach to content-based image retrieval
2005
Pattern Recognition
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In our retrieval system, an image is represented by a set of color-clustering-based segmented regions and global/semi-global edge histogram descriptors (EHDs). ...
In our approach, each segmented region corresponds to an object or parts of an object and is represented by two sets of fuzzified color and texture features. ...
In this paper, we present a novel fusion framework for general-purpose image retrieval based on both regional color and texture features and the global and semi-global edge histogram descriptors (EHDs) ...
doi:10.1016/j.patcog.2005.04.005
fatcat:vkyql47gtbbxhbwgh2djkjptna
Segmentation-based multi-class semantic object detection
2010
Multimedia tools and applications
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We then propose two methods for enhancing the segments classification, one based on the fusion of the classification results obtained with the different segmentations, the other one based on the optimization ...
Recent work has highlighted that image segments provide a sound support for visual object class recognition. ...
The combination of color, texture and keypoint-based descriptors is a powerful discriminative feature for the recognition of various object classes. ...
doi:10.1007/s11042-010-0611-2
fatcat:5w3acp6rgvbhfjoeijlt3ftacy
Front Matter: Volume 10615
2018
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
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The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. ...
. The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, ...
detection based on color probability model and fuzzy clustering 10615 09 Fast object detection algorithm based on HOG and CNN 10615 0A Fabric defect detection based on faster R-CNN 10615 0B Border-oriented ...
doi:10.1117/12.2316542
fatcat:tdaw76jq6nehpnttiga2lcuhna
REGIM at TRECVID2009: Semantic Access to Multimedia Data
2009
TREC Video Retrieval Evaluation
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High-Level Feature Extraction Regim_1: local feature alone with SVM classification results and ARGs using detection scores of image concept as features. ...
Actually, the different video modalities indexing (visual, textual and speech) are separately performed. ...
Conclusion REGIM Research Group participated in this TREC Video Retrieval High-level features Extraction and Search tasks for the second time. ...
dblp:conf/trecvid/ElleuchFAKA09
fatcat:6fxz6kvdcvhw3cn5i7bxcen5uu
Gender Classification by Information Fusion of Hair and Face
[chapter]
2009
State of the Art in Face Recognition
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Here, we introduce a classifier fusion method based on fuzzy integral proposed by Sugeno [13] . ...
Based on such function and considering each classifier's decision, fuzzy integral will give a final decision. Before describing the proposed fusion method, we present a note on notation. ...
New computer vision and pattern recognition approaches need to be investigated. ...
doi:10.5772/6647
fatcat:ehzikkupirh5bbvxzoqwcfra4e
A Review on Indian Sign Language Recognition
2013
International Journal of Computer Applications
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The energy minimization of active contours was accomplished by using object color, texture, boundary edge map and prior shape information. ...
Rajesh Kumar
Video
Canny fused
Wavelet based
Elliptical Fourier
descriptors
Fuzzy
91%
Matlab
P.V.V.Kishore,
P.Rajesh Kumar
Real
time
Active contours
Texture features
Fuzzy
96%
Matlab ...
doi:10.5120/13037-0260
fatcat:asgnhpwqwva5tjxhjx5jb23kly
Object Face Liveness Detection with Combined HOGlocal Phase Quantization using Fuzzy based SVM Classifier
2017
Indian Journal of Science and Technology
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Identification, Object Recognition and many. ...
Most of the existing systems for Face recognition and anti-spoofing classifier is accomplished to detect object features and finds spoofing attacks on all subjects. ...
In many systems for feature extraction, frequency-based feature extraction, Texture-based feature extraction and Fusion-based feature extraction are being implemented. ...
doi:10.17485/ijst/2017/v10i3/109035
fatcat:trbrbbzoxvgcbccs5agnds3jdm
An evidential framework for pedestrian detection in high-density crowds
2017
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
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We propose an evidential fusion algorithm which is able to exploit multiple detectors based on different gradient, texture and orientation descriptors. ...
Moreover, the proposed algorithm outperforms a fusion solution based on Multiple Kernel Learning on difficult high-density crowd images acquired at Makkah at the height of the Muslim pilgrimage. ...
Acknowledgments This work was partly funded by ANR grant ANR-15-CE39-0005 and by QNRF grant NPRP-09-768-1-114. ...
doi:10.1109/avss.2017.8078498
dblp:conf/avss/VandoniAH17
fatcat:koncadx2cjekllzfn6tvqn3tdq
A Survey on Content-based Image Retrieval
2017
International Journal of Advanced Computer Science and Applications
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Namely, unsupervised and supervised learning and fusion techniques along with lowlevel image visual descriptors have been reported. ...
In this article, a survey on state of the art content based image retrieval including empirical and theoretical work is proposed. ...
ACKNOWLEDGMENT This work was supported by the Research Centre of the College of Computer and Information Sciences, King Saud University. The author is grateful for this support. ...
doi:10.14569/ijacsa.2017.080521
fatcat:kzfskamd25coxcj3537z6z3ty4
Ontological inference for image and video analysis
2006
Machine Vision and Applications
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Queries are parsed using a probabilistic grammar and Bayesian networks to map high level concepts onto low level image descriptors, thereby bridging the "semantic gap" between users and the retrieval system ...
This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Acknowledgements The author would like to acknowledge financial support from AT&T Labs Research and the Royal Commission for the Exhibition of 1851. ...
doi:10.1007/s00138-006-0017-3
fatcat:hat7556tmzbctpebyvzx3xr4dy
Integrating Image Segmentation and Classification for Fuzzy Knowledge-Based Multimedia Indexing
[chapter]
2009
Lecture Notes in Computer Science
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as color and shape, ii) mid-level semantics, such as concurrent image segmentation and object detection, region-based classification and, iii) rich semantics, i.e. fuzzy reasoning for extraction of implicit ...
In this paper we propose a methodology for semantic indexing of images, based on techniques of image segmentation, classification and fuzzy reasoning. ...
Most approaches in semantic-based analysis and indexing are grounded on multimedia segmentation and object recognition techniques. ...
doi:10.1007/978-3-540-92892-8_29
fatcat:yijkpn2gknhi7emlrgssanania
Review on Techniques for Plant Leaf Classification and Recognition
2019
Computers
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Plant systematics can be classified and recognized based on their reproductive system (flowers) and leaf morphology. ...
Each technique has its advantages and limitations in leaf pattern recognition. ...
[49] based on texture and shape features of leaf images. ...
doi:10.3390/computers8040077
fatcat:kkoz3kn2djcapi2bzxsuro6bsq
Review on Various Image Processing Techniques in Satellite Imagery Applications
2023
Zenodo
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Changes to city and state boundaries, vegetation areas, water bodies and more can be monitored through satellite images. ...
This paper evaluates the advantages and disadvantages of various satellite image processing methods. ...
based on different methods such as probabilistic, statistical, unmixing based, semiphysical, and hybrid fusion. ...
doi:10.5281/zenodo.7638117
fatcat:k3jvk5xaizgc5djdy25vxkwmxa
Ocular biometrics: A survey of modalities and fusion approaches
2015
Information Fusion
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The paper discusses existing algorithms and the limitations of each of the biometric traits and information fusion approaches which combine ocular modalities with other modalities. ...
We also propose a path forward to advance the research on ocular recognition by (i) improving the sensing technology, (ii) heterogeneous recognition for addressing interoperability, (iii) utilizing advanced ...
The authors would like to thank the Editorin-Chief, Associate Editor, and reviewers for their insightful feedback on the paper. The authors also acknowledge Dr. Maria De Marsico and Dr. ...
doi:10.1016/j.inffus.2015.03.005
fatcat:ph2katoyuzdylamlesnt7vzbay
A review and an approach for object detection in images
2017
International Journal of Computational Vision and Robotics
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The comments are drawn based on the studied literature and key issues are also identified relevant to the object detection. ...
This paper presents a review of the various techniques that are used to detect an object, localise an object, categorise an object, extract features, appearance information, and many more, in images and ...
PETS dataset
Fusion of
fuzzy models
Accuracy
Single and
multiple tracking
The proposed method
is robust.
Properties like shape
and textures, etc.,
have not been
considered. ...
doi:10.1504/ijcvr.2017.10001813
fatcat:milusfamuzgv5js34ufqu2ujte
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