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Image retrieval

Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang
2008 ACM Computing Surveys  
We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology.  ...  In retrospect of what has been achieved so far, we also conjecture what the future may hold for image retrieval research.  ...  (b) Visualizing image retrieval from a system perspective. Fig. 3 . Our views of image retrieval from a user and system perspective.  ... 
doi:10.1145/1348246.1348248 fatcat:5jbcrsxkkbac5cya3zb7eb22ea

Design guidelines for a Content-Based Image Retrieval color-selection interface

Egon L. van den Broek, Peter M. F. Kisters, Louis G. Vuurpijl
2004 Proceedings of the conference on Dutch directions in HCI -  
The user either selects an example image or selects image features retrieved from memory (such as color, texture, spatial attributes, and shape) to define his query.  ...  In Content-Based Image Retrieval (CBIR) two querymethods exist: query-by-example and query-by-memory.  ...  A THEORETICAL EXPERIMENT: FITTS' LAW APPLIED ON COLOR-SELECTION USER INTERFACES Introduction An interface has a certain complexity from the perspective of human perceptual and motor skills.  ... 
doi:10.1145/1005220.1005238 fatcat:3pcayubt5bekxllecrubyemcvm

Biomimetics Image Retrieval Platform

Miki HASEYAMA, Takahiro OGAWA, Sho TAKAHASHI, Shuhei NOMURA, Masatsugu SHIMOMURA
2017 IEICE transactions on information and systems  
In order to overcome this problem, we have developed a new retrieval platform, "Biomimetics image retrieval platform," using a visualization-based image retrieval technique.  ...  A biological database contains a large volume of image data, and by taking advantage of these image data, we are able to overcome limitations of text-only information retrieval.  ...  By realizing an easy-to-user interface, the system enables users to see an overview of a large volume of image data and reach their desired images quickly and effectively.  ... 
doi:10.1587/transinf.2016loi0001 fatcat:n3whoa44mnbtnmpfvs5uk436ae

Benchmarking image and video retrieval

Stéphane Marchand-Maillet, Marcel Worring
2006 Proceedings of the 8th ACM international workshop on Multimedia information retrieval - MIR '06  
In this paper, we take a bird's eye view on benchmarking multimedia IR systems (with the particular case of image and video retrieval) and summarize contributions made to a dedicated special session at  ...  the ACM Multimedia Information Retrieval Workshop (ACM MIR2006).  ...  Clearly, since relevance feedback has to be provided to the system, there is the need for creating a user interface (in the broad sense) to the system.  ... 
doi:10.1145/1178677.1178718 dblp:conf/mir/Marchand-MailletW06 fatcat:hom2mcvssnbrtfpojt4gzpgj3e

Image Retrieval with Semantic Sketches [chapter]

David Engel, Christian Herdtweck, Björn Browatzki, Cristóbal Curio
2011 Lecture Notes in Computer Science  
With increasingly large image databases, searching in them becomes an ever more difficult endeavor. Consequently, there is a need for advanced tools for image retrieval in a webscale context.  ...  We present a novel approach that allows a user to search for images based on semantic sketches that describe the desired composition of the image.  ...  We feel that our interface that requires only rough sketches is already at the upper bound of what can be expected from average users, especially when looking at the errors in perspective that the users  ... 
doi:10.1007/978-3-642-23774-4_35 fatcat:zwj3mhmnsjgpvb6nirscflpkne

An Exploratory Study on a Reinforcement Learning Prototype for Multimodal Image Retrieval Using a Conversational Search Interface

Abhishek Kaushik, Billy Jacob, Pankaj Velavan
2022 Knowledge  
A conversational image search system may mimic a natural language discussion with a user via text or speech, and then assist the user in locating the required picture via a dialogue-based search.  ...  We modified and improved a dual-view search interface that displays discussions on one side and photos on the other.  ...  Information searching is a difficult process both from the user's perspective and the logical end of the information retrieval process.  ... 
doi:10.3390/knowledge2010007 fatcat:m3fblpckufbnhp7w2snomjw4d4

Content-based image retrieval

Ritendra Datta, Jia Li, James Z. Wang
2005 Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval - MIR '05  
The last decade has witnessed great interest in research on content-based image retrieval.  ...  In this paper, we discuss some of the key contributions in the current decade related to image retrieval and automated image annotation, spanning 120 references.  ...  User-interface: As discussed before, a greater effort is needed to design intuitive interfaces for image retrieval such that people are actually able to use the tool to their benefit.  ... 
doi:10.1145/1101826.1101866 dblp:conf/mir/DattaLW05 fatcat:puk37fqtbng77dwtjd7sjyz2xi

Image indexing and retrieval

2010 2010 2nd International Conference on Image Processing Theory, Tools and Applications  
Rank the most similar images according to computation. 4. Display the relevant images which users want to retrieve.  ...  Content Based Indexing In this technique user acquires visual pattern characteristics (features) like color, shape and texture etc. for retrieving a relevant image from the image database.  ... 
doi:10.1109/ipta.2010.5586837 fatcat:tabr2rwgjvhqjpjvtcgif2ircm

Image retrieval by examples

R. Brunelli, O. Mich
2000 IEEE transactions on multimedia  
This paper presents the architecture of a distributed image retrieval system which provides novel solutions to these key issues.  ...  Two related key issues are to achieve an efficient content-based query by example retrieval and a fast response time.  ...  The interaction of the user with the client is based on a graphical interface (see Fig. 2 ), which, in close resemblance to the interfaces for querying traditional databases, provides: an area for the  ... 
doi:10.1109/6046.865481 fatcat:5sathhqxd5hwro62wokllwdpiq

Human-centered content-based image retrieval

Egon L. van den Broek, Thijs Kok, Theo E. Schouten, Louis G. Vuurpijl, Bernice E. Rogowitz, Thrasyvoulos N. Pappas
2008 Human Vision and Electronic Imaging XIII  
A breakthrough is needed in order to achieve a substantial progress in the field of Content-Based Image Retrieval (CBIR).  ...  The M4ART system follows the guidelines on all four issues and is assessed on benchmarks using 5730 queries on a database of 30,000 images.  ...  It Figure 7 : A result as presented when using the advanced CBIR user interface. The image features are depicted using a histogram.  ... 
doi:10.1117/12.767190 dblp:conf/hvei/BroekKSV08 fatcat:ymkakh7vwbhd5lnnqsya3ztusi

Dialogue-Based Information Retrieval from Images [chapter]

Pavel Hamřík, Ivan Kopeček, Radek Ošlejšek, Jaromír Plhák
2014 Lecture Notes in Computer Science  
Communicative images are graphical objects integrated with a dialogue interface and linked to an associated knowledge database which stores the semantics of the objects depicted.  ...  Our concept of communicative images aims to provide graphical information by means of dialogue interaction, which is suitable for people with various disabilities.  ...  on the web via a dialogue interface.  ... 
doi:10.1007/978-3-319-08596-8_13 fatcat:zergtnab5baaflbtvfnk2xbh2e

ImAge: an extensible agent-based architecture for image retrieval

Hiranmay Ghosh, Santanu Chaudhury, Chetan Arora, Paramjeet Nirankari
2000 International Journal on Digital Libraries  
We present an open and extensible architecture, ImAge, for content-based image retrieval in a distributed environment.  ...  Reuse of existing retrieval resources is achieved by encapsulating them in agents with standard interfaces.  ...  Though a prototype system has been developed for image retrieval, the architecture is quite general and can be easily extended to other media forms and in general to multimedia documents by the addition  ... 
doi:10.1007/pl00021468 fatcat:vqun3xmqlfbwzgwsmyskac3lzu

Characterizing user behavior for speech and sketch-based video retrieval interfaces

Ozan Can Altıok, Tevfik Metin Sezgin
2017 Proceedings of the symposium on Computational Aesthetics - CAE '17  
From a user interaction perspective, speech and sketching make a good couple for describing motion.  ...  In this paper, we describe a Wizard-of-Oz protocol and a set of tools that we have developed to engage users in a sketchand speech-based video retrieval task.  ...  It allows users to select and annotate symbols in drawings, and next to save each symbol as a list of points and an image.  ... 
doi:10.1145/3092912.3122801 dblp:conf/cae/AltiokS17 fatcat:p3m42oczovhtxpvne4utd6o24u

ImAge: an extensible agent-based architecture for image retrieval

Hiranmay Ghosh, Santanu Chaudhury, Chetan Arora, Paramjeet Nirankari
2000 International Journal on Digital Libraries  
We present an open and extensible architecture, ImAge, for content-based image retrieval in a distributed environment.  ...  Reuse of existing retrieval resources is achieved by encapsulating them in agents with standard interfaces.  ...  Though a prototype system has been developed for image retrieval, the architecture is quite general and can be easily extended to other media forms and in general to multimedia documents by the addition  ... 
doi:10.1007/s007990050002 fatcat:khgcc5qvpff43ir3dvcfvly5wi

Evaluating a workspace's usefulness for image retrieval

Jana Urban, Joemon M. Jose
2006 Multimedia Systems  
Image searching is a creative process. We have proposed a novel image retrieval system that supports creative search sessions by allowing the user to organise their search results on a workspace.  ...  The workspace's usefulness is evaluated in a task-oriented and user-centred comparative experiment, involving design professionals and several types of realistic search tasks.  ...  The combina-tion of retrieval and management system is achieved by providing a workspace in the interface which allows the user to organise their search results.  ... 
doi:10.1007/s00530-006-0051-z fatcat:eq3letb3xfgwbig7ry65uciq7m
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