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IGroup

Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, Lei Zhang, Wei-Ying Ma
2006 Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06  
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

Shuo Wang, Feng Jing, Jibo He, Qixing Du, Lei Zhang
2007 Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '07  
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

Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, Lei Zhang, Wei-Ying Ma
2006 Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06  
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

Haoyang Ding, Jing Liu, Hanqing Lu
2008 Proceeding of the 16th ACM international conference on Multimedia - MM '08  
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

Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Ying Ma
2010 Proceedings of the 19th international conference on World wide web - WWW '10  
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

Mei Wang, Hongtao Xu, Guoyu Hao, Xiangdong Zhou, Wei Wang, Qi Zhang, Baile Shi
2008 2008 IEEE 24th International Conference on Data Engineering  
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

H. Vahdatnejad, M. A. Nematbakhsh, K. Zamanifar, N. Nematbakhsh
2012 International journal of information science and management  
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

Hai Dong, Farookh Khadeer Hussain, Elizabeth Chang
2008 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies  
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

Harry Agius, Marios C. Angelides
2007 Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007)  
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]

Michal Tvaro_ek, Mária Bieliková
2009 Advances in Semantic Media Adaptation and Personalization, Volume 2  
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

Shi Qiu, Xiaogang Wang, Xiaoou Tang
2013 2013 IEEE International Conference on Computer Vision  
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

Haojie Li, Jinhui Tang, Guangda Li, Tat-Seng Chua
2008 Proceeding of the 16th ACM international conference on Multimedia - MM '08  
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

Ba Quan Truong, Aixin Sun, Sourav S. Bhowmick
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
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]

Jose G. Moreno, Gaël Dias
2013 Lecture Notes in Computer Science  
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]

Kaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu
2014 Lecture Notes in Computer Science  
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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