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Partial Image Retrieval Using Color Regions and Spatial Relationships [chapter]

Yunyun Cao, Yoshitomo Yaginuma, Masao Sakauchi
2002 Visual and Multimedia Information Management  
While retrieving, the query image is also first segmented, and then the major regions' colors, their area ratios and spatial relationships are generated for narrowing the searching space.  ...  The utilization of multiple regions alleviates the influence of inaccurate segmentation, the presegmentation of images in database allows indexing of features of color regions and enables the fast retrieving  ...  PROPOSED METHOD In this section, we propose a novel partial image retrieval method which utilizes color regions' color, area percentage and their spatial relationships for retrieval.  ... 
doi:10.1007/978-0-387-35592-4_6 fatcat:zlo34r2kwrhzhmzk7hw5mu4w3q

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  
Moreover, the mechanism used to compute the descriptor provides support for partial matching of images and for the development of efficient retrieval systems.  ...  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  ...  ACKNOWLEDGMENTS This work was supported by FAPEMIG, CNPq, CAPES, and FCT through the PIDDAC Program funds (INESC-ID multiannual funding) and the Crush project, PTDC/EIA-EIA/108077/2008.  ... 
doi:10.1109/ictai.2012.109 dblp:conf/ictai/SantosSGF12 fatcat:te4v3uj2lbe67kbxratez74gte

Spatial arrangement of color in retrieval by visual similarity

S. Berretti, A. Del Bimbo, E. Vicario
2002 Pattern Recognition  
In image search based on chromatic similarity, the e ectiveness of retrieval can be improved by taking into account the spatial arrangement of colors.  ...  This can serve both to distinguish images with the same colors in di erent arrangement, and to capture the similarity between images with di erent colors but similar arrangements.  ...  In this case, one of the database images is used as query example, and the system searches for the most similar images, using all the color entities and relationships that appear in the query representation  ... 
doi:10.1016/s0031-3203(01)00161-3 fatcat:6nk4c3wemvchxnapfmmdmdxpx4

Color Spatial Arrangement for Image Retrieval by Visual Similarity [chapter]

Alberto Del Bimbo, Stefano Berretti
2006 Color Image Processing  
been used separately to model spatial relationships), and the global color histogram.  ...  and to a representation that uses centroids orientation to model spatial relationships between color clusters.  ...  Au: Provide editors and publisher/location. [80] V. Gudivada, Spatial knowledge representation and retrieval in 3-d image databases, in Au: Provide editors and publisher/location.  ... 
doi:10.1201/9781420009781.ch10 fatcat:skgwz3h42rdnze5eiu2rwjwu3y

Features Analysis In CBIR Systems

Poonam Bhatia Anand, Neetu Bhatia
2016 International Journal of Computer Applications Technology and Research  
Image retrieval is the major innovations in the development of images. Mining of images is used to mine latest information from the general collection of images.  ...  The image can be retrieved in fast if it is clustered in an accurate and structured manner. In this paper, we have the combined the theories of CBIR and analysis of features of CBIR systems.  ...  SPG (Spatial proximity graph) is built in many stages to obtain the target of characterizing spatial relationships between color regions.  ... 
doi:10.7753/ijcatr0506.1006 fatcat:mckjpjwg3nasvd67wwd5xlxjcy

Augmented Image Retrieval using Multi-order Object Layout with Attributes

Xiaochun Cao, Xingxing Wei, Xiaojie Guo, Yahong Han, Jinhui Tang
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
In image retrieval, users' search intention is usually specif ed by textual queries, exemplar images, concept maps, and even sketches, which can only express the search intention partially.  ...  In this paper, we propose a novel image search method, which allows the users to indicate any number of Regions Of Interest (ROIs) within the query as well as utilize various semantic concepts and spatial  ...  To fairly compare the performance of different image retrieval algorithms, we f rst use the ground-truth category and attribute labels to accomplish the retrieval task (as done in the textinput and region-based  ... 
doi:10.1145/2647868.2654972 dblp:conf/mm/CaoWGHT14 fatcat:wbe6d7mfxvcxjghhv5eibycmfu

An image retrieval model based on classical logic

Carlo Meghini
1995 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95  
Any information need on images can, and indeed has to, be seen as addressing either the image form, or its content, or the relationship between them.  ...  The relationship between the form of an image and its content is established through a process of interpretation, capturing the meaning of the image form.  ...  The work reported in this paper has been partially funded by the EEC under ESPRIT Basic Research Action FERMI, n. 8134.  ... 
doi:10.1145/215206.215375 dblp:conf/sigir/Meghini95 fatcat:njd4bhq7cragrkmlyx6eyrghmy

An Intelligent mutli-object retrieval system for historical mosaics

Wafa Maghrebi, Anis B., Adel M., Mohamed A.
2013 International Journal of Advanced Computer Science and Applications  
Secondly, to present a fuzzy color quantization approach using the human perceptual HSV color space and finally, to classify semantically the mosaics images using a semantic similarity measure.  ...  Our contribution in this paper is firstly, to define semantic fuzzy linguistic terms to encode the object position and the inter-objects spatial relationships in the mosaic image.  ...  The retrieval process traits this query automatically and recognize the object(s) textual description, position, color(s) and spatial relationships.  ... 
doi:10.14569/ijacsa.2013.040417 fatcat:2rlmakwyobaxlojnztfvjrc3ru

Image retrieval using hierarchical self-organizing feature maps

I.K. Sethi, I. Coman
1999 Pattern Recognition Letters  
While the suggested scheme can work with any kind of low-level feature representation of images, our implementation and description of the system is centered on the use of image color information.  ...  This paper presents a scheme for image retrieval that lets a user retrieve images either by exploring summary views of the image collection at dierent levels or by similarity retrieval using query images  ...  Summary and conclusions A scheme for image retrieval using color composition information was presented.  ... 
doi:10.1016/s0167-8655(99)00103-8 fatcat:ehzd5rwui5bcvemyxrue7m7f3a

Content-based Image Retrieval by Combining Salient Points in a Wavelet Domain

Ybngqing Sum, Shinji Ozawa
2004 The Journal of The Institute of Image Information and Television Engineers  
and that partial retrieval performed much better in retrieval accuracy and robustness.  ...  Then using a spatial orientation tree structure, they were combined into the Low-Low(LL) frequency subband to emphasize the local properties of the image.  ...  The partial retrieval is also incorporated in our indexing system, which performs much better retrieval accuracy and can retrieve similar images having similar regions with different positions.  ... 
doi:10.3169/itej.58.1307 fatcat:2kwqqufbgvarzmmv4isuwdklx4

Review on Concurrent Image Retrieval

Miss. Pallavee Pol
2019 International Journal for Research in Applied Science and Engineering Technology  
Automated image annotations and contributions by various authors for image retrieval techniques are discussed in this paper.  ...  We address some of key challenges in image retrieval in automated image annotations. Techniques of the real world image data handling for image retrieval is main focus of this paper.  ...  Browsing and retrieval is done using color and histogram based descriptors along with texture and spatial descriptors.  ... 
doi:10.22214/ijraset.2019.1126 fatcat:tqerzfaj4ng6joaszankdv4s4y

A hybrid approach to multimedia database systems through integration of semantics and media-based search [chapter]

Wen-Syan Li, K. Selçuk Candan, Kyoji Hirata, Yoshinori Hara
1997 Lecture Notes in Computer Science  
SEMCOG (SEMantics and COGnition-based image retrieval) is a multimedia database system based on this hybrid architecture.  ...  We use it as an example to illustrate how to design and implement a hybrid multimedia database system. We also give our experiences with prototyping SEMCOG and issues raised for future research.  ...  Yoshifumi Masunaga for his invaluable comments and suggestions on this work.  ... 
doi:10.1007/3-540-63343-x_47 fatcat:jwolssbqhjewfopeecddjjoe5a

Efficient Image Retireval Using Region Based Image Retrieval

Niket Amoda
2013 Signal & Image Processing An International Journal  
Content based image retrieval, is implemented using the optical constituents of an image such as shape, colour, spatial layout, and texture to exhibit and index the image.  ...  The Region Based Image Retrieval (RBIR) system uses the Discrete Wavelet Transform (DWT) and a k-means clustering algorithm to segment an image into regions.  ...  Some of the widely used techniques for extracting color, texture, shape and spatial relationship features from images are now described briefly.  ... 
doi:10.5121/sipij.2013.4302 fatcat:2wh2k7edvrdtzoamo67etxhktq

Image Mining Using Directional Spatial Constraints

Selim Aksoy, R. GÖkberk Cinbis
2010 IEEE Geoscience and Remote Sensing Letters  
We describe a framework for modeling directional spatial relationships among objects and using this information for contextual classification and retrieval.  ...  and retrieval performance.  ...  can be successfully used for image classification and retrieval in scenarios that cannot be expressed by traditional pixel-and region-based approaches.  ... 
doi:10.1109/lgrs.2009.2014083 fatcat:mobfcywurrdjjet35adijjvyu4

Image Classification and Querying Using Composite Region Templates

John R. Smith, Chung-Sheng Li
1999 Computer Vision and Image Understanding  
We present a method for classifying and querying images based on the spatial orderings of regions or objects using composite region templates CRTs.  ...  The CRTs can be used for classifying and annotating images by assigning symbols to the regions or objects and by extracting symbol strings from spatial scans of the images.  ...  For images, the detection and description of these regions and their spatial relationships is essential in truly characterizing the images for searching, classi cation and ltering purposes 18, 19 .  ... 
doi:10.1006/cviu.1999.0771 fatcat:ieanag5tzjbpnh3rbuwbranftq
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