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An Unified Framework Based on p-Norm for Feature Aggregation in Content-Based Image Retrieval

Jun Zhang, Lei Ye
2007 Ninth IEEE International Symposium on Multimedia (ISM 2007)  
Feature aggregation is a critical technique in contentbased image retrieval systems that employ multiple visual features to characterize image content.  ...  Experiments show that performances vary over feature aggregation schemes that necessitates an unified framework in order to optimize the retrieval performance according to individual queries and user query  ...  keyword and content-based retrieval systems.  ... 
doi:10.1109/ism.2007.4412374 dblp:conf/ism/ZhangY07 fatcat:uxvyune3jjd7hcefswb6opqz6i

Series feature aggregation for content-based image retrieval

Jun Zhang, Lei Ye
2010 Computers & electrical engineering  
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content.  ...  aggregation and linear distance combination schemes.  ...  keyword and content-based retrieval systems.  ... 
doi:10.1016/j.compeleceng.2008.11.001 fatcat:75e6efdhj5donjkwfhuxkzwdu4

A survey on Content Based Image Retrieval in Cloud Environment with Privacy Preservation & Copy Deterrence

Monika Bansode
2021 International Journal for Research in Applied Science and Engineering Technology  
Abstract: Importance of images in day to day life increased tremendously. Therefore Content Based Image Retrieval studied extensively.  ...  The purpose of this study is to provide privacy preservation and copy deterrence Content Based Image Retrieval method using Lucene Indexing. Keywords: CBIR, Lucene Indexing, Copy Deterrence.  ...  "A Content-Based Image Retrieval Scheme Using an Encrypted Difference Histogram in Cloud Computing" mdpi 20117 In this scheme, a secure CBIR scheme based on an encrypted difference histogram (EDH-CBIR)  ... 
doi:10.22214/ijraset.2021.37852 fatcat:x3ynu567zvgt5idquu3clo5b2e

A Content-Based Video Retrieval Method Using a Visualized Sound Pattern [chapter]

Katsunobu Fushikida, Yoshitsugu Hiwatari, Hideyo Waki
1998 Visual Database Systems 4 (VDB4)  
An image search engine is used not only for image retrieval but also for sound pattern retrieval.  ...  A content-based video scene retrieval method using a multimodal index is proposed. Representative images of video scenes and corresponding visualized sound patterns are used as the multimodal index.  ...  Multimodal retrieval for video database Typical video indexes such as text indexes, image indexes and sound indexes have been discussed for content-based retrieval.  ... 
doi:10.1007/978-0-387-35372-2_18 fatcat:cxj56pyx4nd6njqtnuvltvfqb4

Intelligent Image Retrieval Techniques: A Survey

Mussarat Yasmin, Sajjad Mohsin, Muhammad Sharif
2014 Journal of Applied Research and Technology  
There are some really smart techniques proposed by researchers for efficient and robust content-based image retrieval.  ...  While working with digital images, quite often it is necessary to search for a specific image for a particular situation based on the visual contents of the image.  ...  Acknowledgements We are grateful to Department of Computer Science, COMSATS Institute of Information Technology Pakistan for providing us a platform to conduct this research study.  ... 
doi:10.1016/s1665-6423(14)71609-8 fatcat:ce3qthtoe5bdthys3yf6vadkvy

A Study of the Effect of Color Quantization Schemes for Different Color Spaces on Content-based Image Retrieval

Moheb R.Girgis, Mohammed S. Reda
2014 International Journal of Computer Applications  
For the purpose of this study, a CBIR system that implements two content-based image retrieval algorithms has been developed.  ...  This paper presents a study of the effect of color quantization schemes for different color spaces (HSV, YIQ and YCbCr) on the performance of content-based image retrieval (CBIR), using different histogram  ...  For the purpose of this study, a CBIR system that implements two content-based image retrieval algorithms has been developed.  ... 
doi:10.5120/16843-6699 fatcat:mtwgrqbxqrgm3dei5lpfk3mtd4

Moment Features Weighting for Image Retrieval

HabibollahAgh Atabay
2016 IOSR Journal of Computer Engineering  
Feature selection is an effective tool to improve the performance of content based image retrieval systems.  ...  Among features employed in content based image retrieval systems, orthogonal moments are shape features which have been used to distinguish objects.  ...  Scheme 1:Retrieval with ReliefF based selection and Euclidean distance based retrieval Scheme 2: Retrieval with ReliefF based selection and weighted Euclidean distance based retrieval Scheme 3:Retrieval  ... 
doi:10.9790/0661-1805043237 fatcat:z3bprmstyfewnmd3v3qr476b24

Using global colour features for general photographic image indexing and retrieval

Ting-Sheng Lai, John Tait
1998 Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '98  
At the present time there is a growing demand for the development of content-based image retrieval.  ...  This paper attempts to address the problems of indexing and retrieval of general photographic images. An indexing and retrieval scheme is introduced which models human colour perception.  ...  There is a consequent demand for the development of content-based image retrieval.  ... 
doi:10.1145/290941.291038 dblp:conf/sigir/LaiT98 fatcat:mqfg53zzanbhhju44e6ay735rm

Content based image retrieval systems

V.N. Gudivada, V.V. Raghavan
1995 Computer  
Computer mages are being generated at an ever-increasing rate by sources such as defense and civilian satellites, military reconnaissance and sur-0018-9162/95/$4.00 0 1995 IEEE  ...  We also thank the article reviewers for their professionalism and insightful, detailed reviews, and for responding under stringent time constraints.  ...  We acknowledge the support ofARO and thank David Hislop for his encouragement.  ... 
doi:10.1109/2.410145 fatcat:mpkjnzdsuffexiac5rt7g6sxam


2010 Issues in Information Systems  
To enable semanticbased and content-based retrieval on such image data, we design a XML-Schema for the proposed metadata.  ...  markup-based web e-catalog image retrieval.  ...  XML-based web service architecture Image Retrieval System Some systems support keyword only retrievals and others support content-based image retrievals.  ... 
doi:10.48009/1_iis_2010_483-490 fatcat:j7vx6kcr35cytf7cj6m4wcmolq

Content-Based Color Image Retrieval Using Block Truncation Coding Based on Binary Ant Colony Optimization

Yan-Hong Chen, Chin-Chen Chang, Chia-Chen Lin, Cheng-Yi Hsu
2018 Symmetry  
In this paper, we propose a content-based image retrieval (CBIR) approach using color and texture features extracted from block truncation coding based on binary ant colony optimization (BACOBTC).  ...  First, we present a near-optimized common bitmap scheme for BTC. Then, we convert the image to two color quantizers and a bitmap image-utilizing BACOBTC.  ...  The results showed that the proposed scheme had a higher retrieval precision and recall ratio. For future work, we intend to study the application of the content-based image retrieval approach.  ... 
doi:10.3390/sym11010021 fatcat:5y3cmpplvnd2hppoicz33enmpu

Image indexing and retrieval based on vector quantization

Shyh Wei Teng, Guojun Lu
2007 Pattern Recognition  
Besides, text-based retrieval systems also cannot accept content-based queries.  ...  ABSTRACT As more and more images are being captured and stored in computers, an efficient and effective image retrieval system is required to make use of the information stored in images.  ... 
doi:10.1016/j.patcog.2007.01.029 fatcat:nykdkpazcfebpjvf64gzgofes4

Image Matching Using the OBIR System with Feature Point Histograms [chapter]

Y. Tao, W. I. Grosky
1998 Visual Database Systems 4 (VDB4)  
This paper presents an image retrieval system called OBIR (Object-Based Image Retrieval). We discuss this and a new histogram-based approach to indexing spatial arrangements of features.  ...  Based on some preliminary experiments, we demonstrate the effectiveness and efficiency of our system.  ...  DESIGN AND IMPLEMENTATION OF OBIR Content-based image retrieval systems use visual features to index images.  ... 
doi:10.1007/978-0-387-35372-2_16 fatcat:lugefvss3ber7gtblncyzhg6c4

A Survey On Semantic Image Retrieval For Bigdata

Ms.N.N. Deepika, Dr. R. Madhumitha
2017 International Journal Of Engineering And Computer Science  
In Semantic based image retrieval, the weight adjustment scheme is used to give the high priority for the contents which are semantically more related.  ...  In this survey, homogeneous image data is retrieved by the proposed fuzzy logic based feedback weight adjustment scheme which will increase the score of the class which is more preferred by the users.  ...  IMAGE RETRIEVAL TECHNIQUES An image retrieval system is a computer system for reading, scanning, browsing, searching and retrieving images from an immense database of digital images.  ... 
doi:10.18535/ijecs/v6i3.21 fatcat:worc74lj6vas7i2dh4vbrctfo4

Ordered Dither Block Truncation Coding For Content Based Image Retrieval Using Relevance Feedback

Simantinee S Joshi
2016 International Journal Of Engineering And Computer Science  
Now a days, content based image retrieval (CBIR) plays an important role in the image retrieval systems.  ...  In this system features of an image are extracted using ODBTC for the generation of image content descriptor. ODBTC offers a simple and effective way to index images in CBIR system.  ...  Durugkar for his guidance and support. I wish to express my sincere thanks to HOD, Prof. I.R.Shaikh & PG Coordinator Prof.V.N.Dhakane for their support.  ... 
doi:10.18535/ijecs/v5i12.12 fatcat:th33mgbrrvc7dleomgfyjx6ta4
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