NDLI: Feature fusion method using BoVW framework for enhancing image retrieval

Content Provider	IET Digital Library
Author	Vimina, E. Ravindran Jacob, K. Poulose
Abstract	The bag-of-visual words (BoVW) has been applied to myriad of recognition problems in computer vision such as object recognition, scene classification and image retrieval due to its scalability and high precision. However, their performance is subservient in certain datasets, especially in natural image datasets, mainly due to the lack of consideration of image cues such as colour, texture etc. which are not prime features while computing invariant descriptors, on which BoVW models are generally built on. Hence, this study describes a multi-cue fusion approach for BoVW framework, exploiting both early and late fusion methods, to improve the retrieval performance, mainly in natural image datasets. For this, a composite edge and colour descriptor is proposed to describe the local regions of the image along with the invariant feature descriptor Speeded Up Robust Features (SURF). Independent vocabularies are built based on these descriptors and images in the dataset are encoded to form two histograms using the respective vocabularies. The histograms are further fused to characterise the image. The retrieval is carried out by matching the histograms. Experimental results show that significant increment in the average precision can be attained by combining the proposed descriptor with invariant descriptors.
Starting Page	1979
Ending Page	1985
Page Count	7
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 11, Sep (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5381
Journal	IET Image Processing
Publisher Date	2019-07-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bag-of-visual Words BoVW Framework BoVW Model Composite Colour Descriptor Composite Edge Descriptor Computer Vision Computer Vision And Image Processing Technique Early Fusion Method Edge Detection Feature Extraction Feature Fusion Method Image Classification Image Colour Analysis Image Enhancement Image Fusion Image Matching Image Recognition Image Retrieval Information Retrieval Technique Invariant Descriptors Invariant Feature Descriptor SURF Late Fusion Method Multicue Fusion Approach Natural Image Datasets Object Recognition Recognition Problem Retrieval Performance Scene Classification Sensor Fusion
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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