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Content Based Image Retrieval Using Color, Texture and Shape Features

P.S. Hiremath, Jagadeesh Pujari
2007 15th International Conference on Advanced Computing and Communications (ADCOM 2007)  
Color, texture and shape information have been the primitive image descriptors in content based image retrieval systems.  ...  An integrated matching scheme, based on most similar highest priority (MSHP) principle and the adjacency matrix of a bipartite graph formed using the tiles of query and target image, is provided for matching  ...  The latter approach segments the image into regions based on color and texture features.  ... 
doi:10.1109/adcom.2007.21 fatcat:f67xthgucnewrhrbokcwfrkt3i

Large Remote Sensing Image Segmentation with Stitching Strategy Based on Dominant Color

Haizhong Zhang, Information Center of Natural Resources, Department of Natural Resources of Ningxia Hui Autonomous Region, Yinjiaqu North Street 25, Ningxia 750004, China, Ligang Wang, Fei Tong
2021 Journal of Software  
Large remote sensing image segmentation is a crucial issue in object-based image analysis.  ...  In this paper, we proposed a new stitching strategy based on the dominant color similarity measure and modified thetraditional methodof dominant color similarity measure to make itmoresuitable for measuring  ...  The original Ikonos, QuickBird, and KOMPSAT-3 images were provided by the City of Fredericton, CFB Gagetown, and Beijing Space Eye Innovation Technology Co., Ltd., respectively.  ... 
doi:10.17706/jsw.16.2.67-79 fatcat:wuez5xnooff3xplj2dibzgcjxq

Spatial color descriptor for image retrieval and video segmentation

Ho Young Lee, Ho Keun Lee, Yeong Ho Ha
2003 IEEE transactions on multimedia  
An important problem in color-based image retrieval and video segmentation is to lack information about how color is spatially distributed.  ...  The color adjacency histogram represents the spatial distribution of color pairs at color edges in an image, thereby incorporating spatial information into the proposed color descriptor.  ...  Retrieval systems are based on similarity measurements between a given query and indexed data.  ... 
doi:10.1109/tmm.2003.814792 fatcat:ig3fsuhckrgb3b2noruu3x62xq

Image retrieval based on region shape similarity

Cheng Chang, Wenyin Liu, HongJiang Zhang, Minerva M. Yeung, Chung-Sheng Li, Rainer W. Lienhart
2001 Storage and Retrieval for Media Databases 2001  
This paper presents an image retrieval method based on region shape similarity.  ...  Finally, we measure the similarity between two images by finding the most similar pair of shapes in the two images.  ...  Tao Wang for his help on development of the shape-based image retrieval framework.  ... 
doi:10.1117/12.410947 dblp:conf/spieSR/ChangLZ01 fatcat:vjjetbp66vhbnnaveusnled55m

Color image retrieval using compressed chromaticity and color edge information

Ho-Young Lee, Hee-Soo Kim, Ho-Keun Lee, Yeong-Ho Ha, Minerva M. Yeung, Chung-Sheng Li, Rainer W. Lienhart
2001 Storage and Retrieval for Media Databases 2001  
Color histogram is widely used in image retrieval due to its simplicity and fast operation speed.  ...  In the proposed method, color edge detection based on vector angle is performed to classify the pixels of image into smooth and edge pixels.  ...  INTRODUCTION The color distribution in an image has proven to be very useful for object recognition and image retrieval'.  ... 
doi:10.1117/12.410960 dblp:conf/spieSR/LeeKLH01 fatcat:7yop4lbxizby3pkfrxfgs3olha

The Multimodal Neighborhood Signature for Modeling Object Color Appearance and Applications in Object Recognition and Image Retrieval

J. Matas, D. Koubaroulis, J. Kittler
2002 Computer Vision and Image Understanding  
We propose a general-purpose color-based object model called the Multimodal Neighborhood Signature (MNS) with applications in object recognition and image retrieval.  ...  Unlike other methods, neither segmentation nor edge detection is required and the area of homogeneously colored regions is not used.  ...  ., object recognition and image retrieval. The method is example-based; even a single image (region) can be used for object modeling.  ... 
doi:10.1006/cviu.2002.0965 fatcat:4hsrqut6gfeszef5gskb4sy2ga

Central Object Extraction for Object-Based Image Retrieval [chapter]

Sungyoung Kim, Soyoun Park, Minhwan Kim
2003 Lecture Notes in Computer Science  
An important step in content-based image retrieval is finding an interesting object within an image. We propose a method for extracting an interesting object from a complex background.  ...  Interesting objects are generally located near the center of the image and contain regions with significant color distribution.  ...  Thus the extracted central objects can be effectively used in object-based image retrieval.  ... 
doi:10.1007/3-540-45113-7_5 fatcat:rxmzsvw4ufayte3ehvc5difxey

CTDCIRS: Content based Image Retrieval System based on Dominant Color and Texture Features

M.Babu Rao, B.Prabhakara Rao, A. Govardhan
2011 International Journal of Computer Applications  
A new image retrieval system CTDCIRS (color-texture and dominant color based image retrieval system) to retrieve the images using three features called dynamic dominant color (DDC), Motif co-occurrence  ...  The three features Dominant color, MCM and DBPSP are integrated to facilitate the image retrieval system.  ...  First split the image into certain sub blocks, similarity matrix analysis and the color region information are used to retrieve images under the query of special object.  ... 
doi:10.5120/2285-2961 fatcat:sf3w6ffcebevfk7y6zhcyja4ji

Combining Color and Topology for Partial Matching

Dali F. D. dos Santos, Ilmerio R. da Silva, D. Guliato, M. J. Fonseca
2012 2012 IEEE 24th International Conference on Tools with Artificial Intelligence  
We first describe the spatial arrangement of the color regions using a topological graph, where vertices represent the color regions and edges represent connections between regions and also the color differences  ...  Moreover, the mechanism used to compute the descriptor provides support for partial matching of images and for the development of efficient retrieval systems.  ...  One based on the COIL-100 dataset [8] , composed by images of real objects, and a second database composed by images of objects created by us to highlight the spatial relationships between color regions  ... 
doi:10.1109/ictai.2012.109 dblp:conf/ictai/SantosSGF12 fatcat:te4v3uj2lbe67kbxratez74gte

Modeling Perspective Effects in Photographic Composition

Zihan Zhou, Siqiong He, Jia Li, James Z. Wang
2015 Proceedings of the 23rd ACM international conference on Multimedia - MM '15  
We then show how these cues can be used directly to detect the dominant vanishing point in an image without extracting any line segments, a technique with implications for multimedia applications beyond  ...  Automatic understanding of photo composition is a valuable technology in multiple areas including digital photography, multimedia advertising, entertainment, and image retrieval.  ...  pair of adjacent regions.  ... 
doi:10.1145/2733373.2806248 dblp:conf/mm/ZhouHLW15 fatcat:cnniawtfandpdoklzcn43yt6li

CBIR: Primary Collection of Relevant Image Selection using Rule Based Boolean Query

2016 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
Dominant color descriptors in RGB space are used for extracting the color feature. Performance can be compared to an existing system by evaluating the time, retrieval precision and recall.  ...  Content Based Image Retrieval is an active way of searching, browsing, or retrieving images from a large image repository.  ...  It computes the distance between each adjoining pair of pixels around the border of the region.  ... 
doi:10.21311/ fatcat:qhyfoo7mivgpnp3vmuuzqa6tla

SIFT-CCH: Increasing the SIFT distinctness by Color Co-occurrence Histograms

Cosmin Ancuti, Philippe Bekaert
2007 Image and Signal Processing and Analysis  
), a concept used extensively in color texture retrieval and object recognition applications.  ...  Importance of the color information for the image matching problem.  ...  for image retrieval, object recognition and texture classification.  ... 
doi:10.1109/ispa.2007.4383677 fatcat:vskfv5t4xzhrljx53jwewv4n64

Illumination Invariant Object Recognition Using The Mns Method

D. Koubaroulis, J.Matas, J.Kittler
2015 Zenodo  
background (also referred to as region-based image retrieval).  ...  Acceptable results both for region-based image retrieval and object recognition have been reported [13] .  ... 
doi:10.5281/zenodo.37464 fatcat:ezyzffpcyjdddeicc44uoihmzy

Content-Based Image Feature Description and Retrieving [chapter]

Nai-Chung Yang, Chung-Ming Kuo, Wei-Han Chang
2013 Search Algorithms for Engineering Optimization  
For nature image retrieval, conversional region-based relevance feedback systems use multiple features e.g., color, shape, texture, size and update weighting scheme.  ...  In Section , image segmentation and region representation based on our modified dominant color descriptor and local binary pattern are described.  ...  . , the dominant color between query image I and target image I ′ is used for similarity measure in the initial query. The retrieval results are shown in Fig.  ... 
doi:10.5772/52286 fatcat:wtogsoylrza3xjjp23tblwosju

AViTExt: Automatic Video Text Extraction; A new Approach for video content indexing Application

Baseem Bouaziz, Tarek Zlitni, Walid Mahdi
2008 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications  
A significant difference between homologous blocks implies the appearance of an important object which may be a text region.  ...  The temporal redundancy is then used to filter these regions and forms an effective text region.  ...  In order to detect the appearance of new objects we compute the difference between adjacent frame pair according to the HDM measure (Histogram Difference Metric). 1 255 DH(i) = Z+H (k) -Hi(k) (1) where  ... 
doi:10.1109/ictta.2008.4530004 fatcat:qj7ngun5y5ahte5ewc7q4nompq
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