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The Metric Histogram: A New and Efficient Approach for Content-Based Image Retrieval [chapter]

Agma J. M. Traina, Caetano Traina, Josiane M. Bueno, Paulo M. Azevedo-Marques
2002 Visual and Multimedia Information Management  
This paper presents the metric histogram, a new and efficient technique to capture the brightness feature of images, allowing faster retrieval of images based on their content.  ...  A new metric distance function DM( ) to measure the dissimilarity between images through their metric histograms is also presented.  ...  Many work has been done in the field of content-based image retrieval aiming to speed up such comparisons [24] [21], as well as proposing new techniques for image comparison, using color histograms  ... 
doi:10.1007/978-0-387-35592-4_21 fatcat:vwtdnt6q35a7haf2fcco52hphe

Fast content-based multimedia retrieval technique using compressed data

Borko Furht, Pornvit Saksobhavivat, C.-C. Jay Kuo, Shih-Fu Chang, Sethuraman Panchanathan
1998 Multimedia Storage and Archiving Systems III  
The existing techniques, proposed in the literature, use computationally intensive features and cost functions for content-based image and video retrieval and indexing.  ...  Then, the algorithm compares the DC histogram of the submitted image with the DC histograms of the images stored in the database using a histogram similarity metric.  ...  We propose a fast retrieval and indexing algorithm that can be very efficiently used for content-based search on the Internet.  ... 
doi:10.1117/12.325851 fatcat:ruevadxngzea5gil7tajmgcncy

Color Texture based Image Retrieval System

Rahul Mehta, Nishchol Mishra, Sanjeev Sharma
2011 International Journal of Computer Applications  
Content Based Image Retrieval (CBIR) is an interesting and most emerging field in the area of "Image Search", in which similar images for the given query image searched from the image database.  ...  Color and texture based image retrieval computes image features more accurately which are used to retrieve similar images from the database.  ...  for retrieval process then the result obtained through these retrieval processes are more efficient.  ... 
doi:10.5120/2958-3910 fatcat:cnktso4w5vedxhyavpg5o55biy

Spatial Color Indexing: An Efficient and Robust Technique for Content-Based Image Retrieval

Alaoui
2009 Journal of Computer Science  
Results: The experiment results showed that CSE and CHE is more better performance and efficiently and relevant result than those traditional CBIR method based on the local histograms.  ...  Previous researches have proved that the effectiveness of image retrieval increases when spatial feature of colors is included in image retrieval.  ...  Similarity measurement: In content-based image retrieval, a distance metric is usually used to check similarity or dissimilarity between two images.  ... 
doi:10.3844/jcssp.2009.109.114 fatcat:go5smxjmvzfmvpxsyr35ph255y

Spatial Color Indexing: An Efficient and Robust Technique for Content-Based Image Retrieval

Alaoui
2009 Journal of Computer Science  
Results: The experiment results showed that CSE and CHE is more better performance and efficiently and relevant result than those traditional CBIR method based on the local histograms.  ...  Previous researches have proved that the effectiveness of image retrieval increases when spatial feature of colors is included in image retrieval.  ...  Similarity measurement: In content-based image retrieval, a distance metric is usually used to check similarity or dissimilarity between two images.  ... 
doi:10.3844/jcs.2009.109.114 fatcat:ch5xzi7t2vgglmbyvahsmdyfiy

Satellite Image retrival based on sensitive content method

Ajit Yadav, R.R sedemkar, harshali patil
2019 International Journal of Recent Trends in Engineering and Research  
Content-based image retrieval is an approach from data mining community which provides the solution of managing this huge quantity of data.  ...  In this research, a Content-Based Image Retrieval (CBIR) system has been applied on Geospatial Images of fire and forest, Clutter and water, cyclone and water etc.  ...  The Gabor Feature 81.7%Accuracy in Content Based Image Retrieval system. An Integrated Approach to Content Based Image Retrieval proposed by Agarwal (2014).  ... 
doi:10.23883/ijrter.2019.5074.89eea fatcat:o2x7ez6rnnb5rhmrfrzuro6jci

An efficient similarity indexing by ordering permutations for Spatial Multi-Resolution images

Rachid Alaoui, Said Ouatik El Alaoui, Mohammed Meknassi
2009 Journal of clean energy technologies  
We propose the use of color local histograms on multiresolution images. The multiresolution color local histograms give much better retrieval efficiency.  ...  In this paper, we introduce the local histograms to describe the spatial information of colors, even though, a single local histograms is not enough for efficient and robust image retrieval system.  ...  Almost all research work in the Content-Based Image Retrieval (CBIR) community has used a metric function to measure similarity between images.  ... 
doi:10.7763/ijcte.2009.v1.39 fatcat:zxivwb4ngzb3rorak4ghhqgl4e

Efficient CBIR Using Color Histogram Processing

S Neetu Sharma, S Paresh Rawat, S Jaikaran Singh
2011 Signal & Image Processing An International Journal  
The need for efficient content-based image retrieval system has increased hugely.  ...  Efficient and effective retrieval techniques of images are desired because of the explosive growth of digital images. content based image retrieval (CBIR) is a promising approach because of its automatic  ...  Science 6(9) focuses on both the content based image retrieval and Text Based image retrieval (TBIR).  ... 
doi:10.5121/sipij.2011.2108 fatcat:sekset64sjgqvksupzd6hawnfa

Research of Global Features of 3D Color Histogram with Similarity and Dissimilarity Metrics for Image Processing

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
A review of the global feature color comprising of seven different metrics are discussed here. The color is the most powerful feature for describing the images. This study contains four sections.  ...  In this experiment, the query image can be divided into trained (indexed) or untrained (non-indexed).  ...  If the query is text then it used Text Based Image retrieval (TBIR).If the query is image then it used Content Based Image Retrieval(CBIR). Text Based Image Retrieval has two major drawbacks.  ... 
doi:10.35940/ijitee.c1078.0193s20 fatcat:fseto2ier5afnftxiwwd3rvc74

Primitive Integration for Content based Image Retrieval

Riaz AhmedShaikh, Jian-Ping Li, Asif Khan
2015 International Journal of Computer Applications  
Paper work approach based to proposed algorithmic model for efficient and effective retrieval.  ...  based CBIR system.  ...  Color is widely used content in content based image retrieval and recognized by human vision.  ... 
doi:10.5120/19822-1659 fatcat:6ocxnwtkyrhgvpi6xutney6c74

HPCIR: Histogram positional centroid for image retrieval

T N Sadan Kumar, A Sreenivasa Murthy, N Rajani
2016 2016 IEEE Industrial Electronics and Applications Conference (IEACon)  
Content Based Image Retrival has wide application in the field of communication via internet.  ...  The Histogram Positional Centroid for Image Retrieval uses three feature vectors, namely histogram feature, positional centroid of each bin feature and average colour of each bin feature, for retrieval  ...  INTRODUCTION Content Based Image Retrieval is a system in which images are described by color, texture and shape.  ... 
doi:10.1109/ieacon.2016.8067388 fatcat:mxdxyqtonjdcbcwx23qu4px5y4

Saliency-Based Image Retrieval as a Refinement to Content-Based Image Retrieval

Mohammad A. N. Al-Azawi
2021 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
To assess the efficiency of the proposed algorithm, a new evaluation method is also proposed which considers the order of the retrieved image in assessing the efficiency of the algorithm.  ...  Hence, studies focused on segmenting the image into small sub-images and identified their contents.  ...  Content-based image retrieval is the core of image retrieval systems since it focuses on the image content whether in matching it with other image content or in auto-labelling the image.  ... 
doi:10.5565/rev/elcvia.1325 fatcat:3onkrwqf3jemtcyyxfxivn2lay

Image Retrieval Techniques based on Image Features, A State of Art approach for CBIR [article]

Mr. Kondekar V. H., Mr. Kolkure V. S., Prof. Kore S.N
2010 arXiv   pre-print
The purpose of this Paper is to describe our research on different feature extraction and matching techniques in designing a Content Based Image Retrieval (CBIR) system.  ...  Once these features are extracted and used as the basis for a similarity check between images, the various matching techniques are discussed.  ...  Effectively and efficiently accessing desired images from large and varied image databases is now a necessity CBIR or Content Based Image Retrieval is the retrieval of images based on visual features such  ... 
arXiv:1002.1951v1 fatcat:axafgqkrvvholoahmwzxvpejr4

Content based image retrieval using salient orientation histograms

Andrea Manno-Kovacs
2016 2016 IEEE International Conference on Image Processing (ICIP)  
Content-aware image retrieval is a very important topic nowadays, when the amount of digital image data is highly increasing.  ...  Existing sketch based image retrieval (SBIR) systems perform at a reduced level on real life images, where background data may distort image descriptors and retrieval results.  ...  10] , supporting its capability of holding efficient structure and content information for image comparisons and retrieval.  ... 
doi:10.1109/icip.2016.7532805 dblp:conf/icip/Manno-Kovacs16 fatcat:7f4yrsukbjbczb6fa5n7gtp77m

An Efficient Privacy Preserving Medical Image Retrieval Using ROI Enabled Searchable Encryption

J. Hyma, G. Lakshmeeswari, D.S. Sampath Kumar, Ayush Anand
2016 International Journal of Applied Engineering Research  
This project addresses the trouble of enabling content based image retrieval throughout encrypted medical image dataset.  ...  The authorized user can pose the query on the encrypted data base and able to retrieve the most relevant cluster of images from the database maintained by the third part server.  ...  Euclidean distance based image retrieval relies on comparison of different image metrics to capture semantic similarity between medical images.  ... 
doi:10.37622/ijaer/11.11.2016.7509-7516 fatcat:6lgkbrdtfnbxlefjpdyqbysssm
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