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A structured learning framework for content-based image indexing and visual query

Joo-Hwee Lim, Jesse S. Jin
2005 Multimedia Systems  
Nonspecific images in a broad domain remain a challenge for content-based image retrieval.  ...  Last but not least, we demonstrate the usefulness of the visual query language with 15 QBSI queries that have attained high precision values at top retrieved images on the 2400 consumer images.  ...  Lebrun for lending his family photos, CMU for their face detector, and T. Joachims for his great SVM light software.  ... 
doi:10.1007/s00530-004-0158-z fatcat:z4te2phe4randf4zuiesrpmbgm

Content Based Multimedia Information Retrieval to Support Digital Libraries [article]

Mohammad Nabil Almunawar
2012 arXiv   pre-print
For example retrieval based on visual characteristics such as colour, shapes or textures of objects in images or retrieval based on spatial relationships among objects in the media (images or video clips  ...  Content-based multimedia information retrieval is an interesting research area since it allows retrieval based on inherent characteristic of multimedia objects.  ...  based on colour or texture or it only considers one object in an image (retrieval based on shape).  ... 
arXiv:1207.4259v1 fatcat:rvpiuh27zvhw5d632xr4h7eo7a

Image Retrieval by Colour and Texture Using Chromaticity Histograms and Wavelet Frames [chapter]

Spyros Liapis, Georgios Tziritas
2000 Lecture Notes in Computer Science  
Retrieval benchmarking is performed on textured colour images from natural scenes, obtained from the VisTex database of MIT Media Laboratory and from the Corel Photo Gallery.  ...  In this paper the combination of texture and colour features is used for image classi cation.  ...  Aknowledgments This work was funded in part by the PENED99 project, of the Greek General Secretariat of Research and Technology.  ... 
doi:10.1007/3-540-40053-2_35 fatcat:2web3unopjfl3f7soycjrelvm4

Language-based querying of image collections on the basis of an extensible ontology

Christopher Town, David Sinclair
2004 Image and Vision Computing  
By basing such a language on an extensible ontology which encompasses both high-level and low-level image properties and relations, one can go a long way towards bridging the semantic gap between user  ...  The design of a specialised query language for content based image retrieval (CBIR) provides a means of addressing many of the problems associated with commonly used query paradigms such as query-by-example  ...  Acknowledgements The authors would like to acknowledge directional guidance and support from AT&T Laboratories Research and financial assistance from the Royal Commission for the Exhibition of 1851.  ... 
doi:10.1016/j.imavis.2003.10.002 fatcat:bcyyqxyt3je2xhkw4rvecw5v4q


2003 Digital Media Processing for Multimedia Interactive Services  
Relevant research areas include: content-based multimedia analysis and automatic annotation of semantic multimedia content, combined textual and multimedia information retrieval, semantic -web, MPEG-7  ...  In this paper, recent advances in content-based analysis, indexing and retrieval of digital media within the SCHEMA Network are presented.  ...  The query by content is based on images, tabular form, similarity retrieval (rough sketches) or by component features (shape, color, texture).  ... 
doi:10.1142/9789812704337_0094 fatcat:zlphlv5szba4fn4drgtk66xj7u

Retrieval of Still Images by Content [chapter]

John P. Eakins
2000 Lecture Notes in Computer Science  
This chapter summarises the current state of the art in content based image retrieval (CBIR). It discusses the need for image retrieval by content, and the types of query which might be encountered.  ...  It describes the main techniques currently used to retrieve images by content at both primitive and semantic levels, describes the features of some commercial and experimental CBIR systems, assesses the  ...  It is reproduced here by kind permission of JISC.  ... 
doi:10.1007/3-540-45368-7_6 fatcat:d6we2vyodfdkbgdcy2nk6mpt5e

Towards intelligent image retrieval

John P. Eakins
2002 Pattern Recognition  
Research into techniques for the retrieval of images by semantic content is still in its infancy.  ...  This paper reviews recent trends in the "eld, distinguishing four separate lines of activity: automatic scene analysis, model-based and statistical approaches to object classi"cation, and adaptive learning  ...  Since chairs come in a wide variety of colours, textures and shapes, primitive image features are unlikely to su$ce on their own.  ... 
doi:10.1016/s0031-3203(01)00038-3 fatcat:vgxce4mdxve6biancde3k4q4ae

Content-based retrieval of segmented images

T.-S. Chua, S.-K. Lim, H.-K. Pung
1994 Proceedings of the second ACM international conference on Multimedia - MULTIMEDIA '94  
Most general content-based image retrieval techniques use colour and texture as main retrieval indices. A recent technique use colour pairs to model distinct object boundaries for retrieval.  ...  ; and (c) the inclusion of perceptually similar colours for fuzzy retrieval.  ...  Acknowledgments: The authors would like to thank the National Universit} of Singapore for the provision of a research grant # RP920637 under which this research is camied out.  ... 
doi:10.1145/192593.192658 dblp:conf/mm/ChuaLP94 fatcat:zxdzc6c5nnbo3is2f26z2hsz54

Enhancing Adaptive Content Based Face Image Retrieval in Database

M Manimegalai, K Sankar
2014 International Journal of Computer Trends and Technology  
To address one of the important and challenging problems -large-scale contentbased face image retrieval.  ...  Given a query face image, content-based face image retrieval tries to find similar face images from a large image database.Large-scale content-based face image retrieval is an enabling technology for many  ...  INTRODUCTION Content-based image retrieval is a technique which uses the visual contents of an image such as colour, shape, texture, and spatial layout to represent and index the image.  ... 
doi:10.14445/22312803/ijctt-v10p102 fatcat:lob7vu5mjngbhlnpzczj3c7vgm

Psychophysical Evaluation for a Qualitative Semantic Image Categorisation and Retrieval Approach [chapter]

Zia Ul-Qayyum, A. G. Cohn, Alexander Klippel
2010 Lecture Notes in Computer Science  
This paper details the behavioral evaluation of a qualitative image categorisation and retrieval approach using semantic features of images.  ...  Content based image retrieval and classification systems are highly active research areas and a cognitively plausible image description can improve effectiveness of such systems.  ...  Most of the research in this area is primarily based on the use of low level image features like colour, texture, shape etc [1] [2] [3] .  ... 
doi:10.1007/978-3-642-13033-5_33 fatcat:uveneahnovaahfwzdomo4u3ex4

Practice and challenges in trademark image retrieval

Jan Schietse, John P. Eakins, Remco C. Veltkamp
2007 Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07  
In this paper, we outline some of the main challenges facing trademark searchers today, and discuss the extent to which current automated systems are meeting those challenges.  ...  Much existing research has concentrated on retrieval techniques for natural images (typically photographs of natural scenes or objects), using various combinations of extracted colour, texture and layout  ...  In these judgements, human experts perform an image interpretation based on recognition of shapes, regions, texture, text and spatial configuration.  ... 
doi:10.1145/1282280.1282355 dblp:conf/civr/SchietseEV07 fatcat:62ngiemq55gv7igb3xrgktve2e

Ontological inference for image and video analysis

Christopher Town
2006 Machine Vision and Applications  
Two implementations of this approach are presented. The first consists of a content based image retrieval system which allows users to search image databases using an ontological query language.  ...  This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach.  ...  Acknowledgements The author would like to acknowledge financial support from AT&T Labs Research and the Royal Commission for the Exhibition of 1851.  ... 
doi:10.1007/s00138-006-0017-3 fatcat:hat7556tmzbctpebyvzx3xr4dy

Using sketches and knowledge bases for geo-spatial image retrieval

M. Bertolotto, J.D. Carswell, E. McLoughlin, D. O'Sullivan, D. Wilson
2006 Computers, Environment and Urban Systems  
This paper presents research in the field of knowledge management for geo-spatial imagery including scanned aerial photos and satellite images.  ...  We have developed a web-based system that allows users to query a database of images not only using metadata, but also drawing sketches of configurations of objects they are interested in as well as inputting  ...  Acknowledgements The funding support of the Research Innovation Fund of Enterprise Ireland is gratefully acknowledged.  ... 
doi:10.1016/j.compenvurbsys.2004.03.001 fatcat:yfp7fa5kbbcahp7iqtfd7yzivi

Land Map Image Dataset: Ground-Truth And Classification Using Visual And Textural Features

Sayan Mandal, Samit Biswas, Amit Kumar Das, Bhabatosh Chanda
2014 Image Processing & Communications  
The automatic classification of maps help indexing of the images in LMIDb for archival and easy retrieval of the right maps to get the appropriate geographical information.  ...  Research on document image analysis is actively pursued in the last few decades and services like OCR, vectorization of drawings/graphics and various types of form processing are very common.  ...  This work is basically for this aspect to formulate parameters based on visual conjecture for automatic classification of map images.  ... 
doi:10.1515/ipc-2015-0024 fatcat:hkd6wsagijdjhi4nefxdi5nucq

DataQuilt: Extracting Visual Elements from Images to Craft Pictorial Visualizations

Jiayi Eris Zhang, Nicole Sultanum, Anastasia Bezerianos, Fanny Chevalier
2020 Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems  
The creative pipeline involves the semi-guided extraction of relevant elements of an image (arbitrary regions, regular shapes, color palettes, textures) aided by computer vision techniques; the binding  ...  Each data point is a spiral-shaped glyph whose texture is mapped to the painting it represents, whereas the Tree of Life painting is used as a decorative background.  ...  This work was partially supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).  ... 
doi:10.1145/3313831.3376172 dblp:conf/chi/ZhangSBC20 fatcat:4uux547serdqthi6urt2elmh5q
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