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IGroup
2006
Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06
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In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. ...
Different from all existing Web image search results clustering algorithms that only cluster the top few images using visual or textual features, IGroup first identifies several query-related semantic ...
To address these issues, we propose IGroup a Web image search engine that efficiently organizes the search results into semantic clusters. ...
doi:10.1145/1180639.1180743
dblp:conf/mm/JingWYDZM06a
fatcat:6fyig3umb5flfeauvirknx524e
IGroup
2007
Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '07
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IGroup, a proposed image search engine addresses these problems by presenting the result in semantic clusters. ...
We compared IGroup with a general web image search engine: MSN, in term of efficiency, coverage, and satisfaction with a substantial user study. ...
ACKNOWLEDGMENTS This work has been greatly supported by the MSRA Web Search and Data Mining group. ...
doi:10.1145/1240624.1240718
dblp:conf/chi/WangJHDZ07
fatcat:7zy66dfqrnfi7e3t3ttw2nd3iu
IGroup
2006
Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06
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Then, all the resulting images are separated and assigned to corresponding clusters. As a result, all the resulting images are organized into a clustering structure with semantic level. ...
In this paper, we propose, IGroup, an efficient and effective algorithm that organizes Web image search results into clusters. ...
As a result, it is very hard for the users to tell what the clusters really are.
IGroup vs. Google image search To compare the proposed IGroup system with existing image search engines, e.g. ...
doi:10.1145/1180639.1180720
dblp:conf/mm/JingWYDZM06
fatcat:nhsmixdqjrcovjubo5tiaj25ee
Hierarchical clustering-based navigation of image search results
2008
Proceeding of the 16th ACM international conference on Multimedia - MM '08
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Usually, the image search results contain multiple topics on semantic level and even semantically consistent images have diverse appearances on visual level. ...
Experiments on web images demonstrate the effectiveness and potential of the system. ...
IGroup [2] used a clustering algorithm for web image search results. ...
doi:10.1145/1459359.1459474
dblp:conf/mm/DingLL08
fatcat:trpwkbm4jnb53bmj3ijehvy2oi
Diversifying landmark image search results by learning interested views from community photos
2010
Proceedings of the 19th international conference on World wide web - WWW '10
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Image search results are thus re-ranked with the TOC so as to ensure a quick overview of the attractions of the landmarks. ...
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and quality. ...
Similar ideas of generating TOC were addressed by Wang et al. [8] and the IGroup system [3] . Both these work group web images to improve the search result. Wang et al. ...
doi:10.1145/1772690.1772904
dblp:conf/www/RenYWZM10
fatcat:ipdvts227ncuddjtua76cna7ce
PictureBook: A Text-and-Image Summary System for Web Search Result
2008
2008 IEEE 24th International Conference on Data Engineering
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Previous studies mainly focused on Web page clustering, document summary, visualization of search results, etc, which are applied separately to either text or image search. ...
In this paper, we propose a demo to illustrate a new Web search result summary system − PictureBook, which combines text and image retrieval using techniques of multiple document summarization and image ...
[10] proposed a new Web image clustering system IGroup, which use key phrase extraction algorithm to assign the images to corresponding Web pages clusters. ...
doi:10.1109/icde.2008.4497634
dblp:conf/icde/WangXHZWZS08
fatcat:u4naqhls35fapmk6dyhc6ved3a
Context Driven Concept Based Image Retrieval
2012
International journal of information science and management
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Several semantic image search schemes have been recently proposed to retrieve images from the web. ...
For this purpose, we propose a hybrid search engine which utilizes concept and context for retrieving precise results. ...
Jing, Wang, Yao, Deng, & Zhang (2006) implement a semantic image search engine called IGroup, which clusters search results into different groups and enables users to identify their required group at a ...
doaj:640faf642e1e4e129cd48e694af5c09e
fatcat:f6h7eikvhvbbtnchkcyudz674e
A survey in semantic search technologies
2008
2008 2nd IEEE International Conference on Digital Ecosystems and Technologies
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Index Terms-semantic search engines, semantic search methodologies, hybrid semantic search, XML search engines, ontology search engines, semantic multimedia search engines. ...
In this paper, we make a survey over the primary literature regarding semantic search technologies. ...
With IGroup, users can refine query results by a navigation panel which contains a list of clusters, and each cluster is represented with a thumbnail and a cluster name.
III. ...
doi:10.1109/dest.2008.4635202
fatcat:afo7yyyeqbffnenhdryclq4fu4
Achieving Content-User Synergy in MPEG-7
2007
Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007)
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Several possible solutions were proposed, such as using faceted metadata search or semantic clusters of search results. ...
We describe the possibilities of using enhanced faceted navigation with support for personalization, collaboration and Semantic Web technologies for multimedia information retrieval. ...
The keyword-based IGroup image search engine presents search results in semantic clusters thus alleviating problems with short, general or ambiguous search queries [15] . ...
doi:10.1109/smap.2007.33
dblp:conf/smap/AgiusA07
fatcat:deerd67ndbclzo7xcmpvs3uhwu
Personalized Faceted Navigation in Semantically Enriched Information Spaces
[chapter]
2009
Advances in Semantic Media Adaptation and Personalization, Volume 2
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Several possible solutions were proposed, such as using faceted metadata search or semantic clusters of search results. ...
We explore the possibilities of using enhanced faceted navigation with support for personalization, collaboration and Semantic Web technologies for (semantic) information retrieval. ...
The keyword-based IGroup image search engine presents search results in semantic clusters thus alleviating some problems with short, general or ambiguous search queries [25] . ...
doi:10.1201/9781420076653-c9
fatcat:szix7bxkzndvvoucatrrxxcaj4
Visual Semantic Complex Network for Web Images
2013
2013 IEEE International Conference on Computer Vision
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Our VSCN with 33, 240 concepts is generated from a collection of 10 million web images. 1 A great deal of valuable information on the structures of the web image collections can be revealed by exploring ...
The nodes on this complex network are clusters of images with both visual and semantic consistency, called semantic concepts. These nodes are connected based on the visual and semantic correlations. ...
Acknowledgements The authors would like to thank Deli Zhao for helpful discussions and Wei Li for help with ANOVA. ...
doi:10.1109/iccv.2013.450
dblp:conf/iccv/QiuWT13
fatcat:z35aevj5zvcpxagff236rnpwk4
Word2Image
2008
Proceeding of the 16th ACM international conference on Multimedia - MM '08
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Various techniques, including the correlation analysis, semantic and visual clustering are adapted into our system to produce sets of high quality, precise, diverse and representative images to visually ...
In this paper, we explore how to leverage the web image collections to fulfill such task and develop a novel multimedia application system, Word2Image. ...
IGroup system [6] first identified some query-related semantic clusters based on web search result analysis. ...
doi:10.1145/1459359.1459494
dblp:conf/mm/LiTLC08
fatcat:rszsdpypbvffra62n6orlqcini
CASIS
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
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A tag concept is a set of tags highly associated with each other and collectively conveys a semantic meaning. Images to a query are then organized by tag concepts. ...
However, as queries are usually very short and users have very different interpretations of a particular tag in annotating and searching images, the returned images to a tag query usually contains a collection ...
In Web search engines, a user needs to read the title/snippet of a hit to judge its relevance, one by one. ...
doi:10.1145/2187980.2188065
dblp:conf/www/TruongSB12
fatcat:44msx2lpxnfjpkjzqvwibzwvye
Using Text-Based Web Image Search Results Clustering to Minimize Mobile Devices Wasted Space-Interface
[chapter]
2013
Lecture Notes in Computer Science
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In order to leverage users' efforts, we present a set of state-of-the-art ephemeral clustering algorithms, which allow to summarize web image search results into meaningful clusters. ...
As a consequence, the trade-off of cluster-based exploration of web image search results on mobile devices is difficult to define, although our study evidences some clear positive results. ...
an image search engine. ...
doi:10.1007/978-3-642-36973-5_45
fatcat:napr57vvtbemrcy2bt3kcqopsq
Clustering Image Search Results by Entity Disambiguation
[chapter]
2014
Lecture Notes in Computer Science
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Existing key-word based image search engines return images whose title or immediate surrounding text contains the search term as a keyword. ...
When the search term is ambiguous and means different things, the results often come in a mixed bag of different entities. ...
Instead of clustering on returned images directly, they first search the query on normal web search engine, and cluster the titles and snippets from the search results. ...
doi:10.1007/978-3-662-44845-8_24
fatcat:plvicpxurja5hltzxh7opqfelu
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