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Autonomous visual model building based on image crawling through internet search engines

Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
2004 Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval - MIR '04  
First of all, images are gathered by crawling through the Internet using a search engine such as Google.  ...  In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual labeling work.  ...  The framework for autonomous concept learning based on image crawling through Internet search engines dynamically updating weights based on the feedback, user's high level query and perception subjectivity  ... 
doi:10.1145/1026711.1026762 dblp:conf/mir/SongLS04 fatcat:7ewd5l3w7zeufh3rpohi75btga

Local searching the Internet

M. Angelaccio, B. Buttarazzi
2002 IEEE Internet Computing  
Local searching tools search pages on or close to a site to answer specific queries. A Web query taxonomy based on WebSQL can help enhance local searching techniques.  ...  The image on the right side of Figure 6 shows the final results of the query map visualization.  ...  We based Wish on a query model that corresponds to the bounded local search with query graph bounding parameters w and d.  ... 
doi:10.1109/4236.978366 fatcat:au3oakuw4zdbdfkwqwnl774eti

Ontology-Assisted Object Detection: Towards the Automatic Learning with Internet [chapter]

Francesco Setti, Dong-Seon Cheng, Sami Abduljalil Abdulhak, Roberta Ferrario, Marco Cristani
2013 Lecture Notes in Computer Science  
use of a search engine.  ...  We try to show how such training set can be made more appropriate by leveraging on semantic technologies, like lexical resources and ontologies, in the task of retrieving images from the Web through the  ...  Humans interact with their world each day largely based on visual understanding. The human visual system is a highly capable modeling and inference device.  ... 
doi:10.1007/978-3-642-41184-7_20 fatcat:dtdx3ugcebey3bpete767sje4q

Value-of-information based middleware for autonomic querying of distributed sensor databases

Sreenivas R. Sukumar, Mallikarjun Shankar, John F. Buford, Gabriel Jakobson, John Erickson, William J. Tolone, William Ribarsky
2010 Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II  
With particular focus on distributed situational awareness in defense and security applications, we propose a value-ofinformation based middleware framework as a paradigm shift from crawl-index based centralized  ...  We conclude the paper with a brief discussion on the top-down programming model that can realize the framework as a reconfigurable sensor query system.  ...  The crawler also culls out links/references from previously processed documents for future crawls and schedules crawls on important web pages based on their expected frequency of change.  ... 
doi:10.1117/12.851685 fatcat:owbbnezc5zax3ljlj4j64zxjde

New Methods and Tools for the World Wide Web Search

Vlatko Ceric
2000 Journal of Computing and Information Technology  
This paper presents analysis of key aspects of recently developed Web search methods and tools: visual representation of subject trees, interactive user interfaces, linguistic approaches, image search,  ...  engines.  ...  Focused Crawling will be used for automated building of highquality collection of Web documents on specific topic.  ... 
doi:10.2498/cit.2000.04.01 fatcat:2iy4mnayujdvxhxfrfid7fl3ei

Research in multi-organizational processes and semantic information brokering at the LSDIS lab

Amit Sheth, John Miller, Krys Kochut, Budak Arpinar
2001 SIGMOD record  
Through the comprehensive use of metadata of various types, it supported keyword, attribute-based and content-based search over images.  ...  We also prototyped a Web-based search engine for streaming audio and video on the Web, premium TV programming, and local video (such as DVDs).  ... 
doi:10.1145/604264.604286 fatcat:a5u535dzdrfw5kol5hr7eyakfq

Semantic-Analysis Object Recognition: Automatic Training Set Generation Using Textual Tags [chapter]

Sami Abduljalil Abdulhak, Walter Riviera, Nicola Zeni, Matteo Cristani, Roberta Ferrario, Marco Cristani
2015 Lecture Notes in Computer Science  
Training sets of images for object recognition are the pillars on which classifiers base their performances.  ...  We have built a framework to support the entire process of image and textual retrieval from search engines such that, giving an input keyword, calculate the statistical analysis, the semantic analysis  ...  Acknowledgment This research was supported by the VISCOSO project financed by the Autonomous Province of Trento through the "Team 2011" funding programme.  ... 
doi:10.1007/978-3-319-16181-5_22 fatcat:awai6jtvavh6jh3bzyv3lgo6p4

GOOSE: semantic search on internet connected sensors

Klamer Schutte, Freek Bomhof, Gertjan Burghouts, Jurriaan van Diggelen, Peter Hiemstra, Jaap van 't Hof, Wessel Kraaij, Huib Pasman, Arthur Smith, Corne Versloot, Joost de Wit, Barbara D. Broome (+2 others)
2013 Next-Generation Analyst  
This is similar to the capability provided by presently available Internet search engines which enable the retrieval of information on "all" web pages on the Internet.  ...  The GOOSE concept has the ambition to provide the capability to search semantically for any relevant information within "all" (including imaging) sensor streams in the entire Internet of sensors.  ...  The implementation of user semantic search can evolve from text-based UI through concept-based to full semantic search, c.  ... 
doi:10.1117/12.2018112 fatcat:lahch2ipprdtrl4qljyrdlvjya

A novel defense mechanism against web crawlers intrusion

Alireza Aghamohammadi, Ali Eydgahi
2013 2013 International Conference on Electronics, Computer and Computation (ICECCO)  
Also, the effectiveness of search engines was given a value based on ratio of visit counts by search engine to number of counts for crawlers' visits.  ...  to public through search engines (Madhavan, Ko, Kot, Ganapathy, Rasmussen, & Halevy, 2008) .  ... 
doi:10.1109/icecco.2013.6718280 fatcat:24i4yfnv65axbi6cvlb2dq3xue

A Survey of Metadata Research for Organizing the Web

Jane Hunter
2003 Library Trends  
the Internet through the use of metadata. .  ...  The metadata required to describe the highly heterogeneous, mixedmedia objects on the Internet is infinitely more complex than simple metadata for resource discovery of textual documents through a library  ...  Sam Joseph at the University of Tokyo has written an excellent overview of Internet search engines based on decentralized metadata (Joseph, 2003) .  ... 
dblp:journals/libt/Hunter03 fatcat:4jwkgwa3wrb7blhh5n36j22cce

Indexing Multimedia for the Internet [chapter]

Brian Eberman, Blair Fidler, Robert Iannucci, Chris Joerg, Leonidas Kontothanassis, David E. Kovalcin, Pedro Moreno, Michael J. Swain, Jean-Manuel Van Thong
1999 Lecture Notes in Computer Science  
The design of our system di ers from previous systems because 1 the indexing can be based on an annotation stream generated by robust transcript alignment, as well as closed captions, and 2 it is a distributed  ...  system that is designed for scalable, high performance, universal access through the World Wide Web.  ...  Conclusions and Future Work We implemented the CRL Media Search system to explore the issues that arise when building a distributed system for indexing multimedia content for distri-bution over the World  ... 
doi:10.1007/3-540-48762-x_25 fatcat:s7qkxxtrubcynkl47nzjeiwfqa

Web Content Mining Techniques: A Survey

Faustina Johnson, Santosh Kumar Gupta
2012 International Journal of Computer Applications  
This survey focuses on how to apply content mining on the above data. It also points out how web content mining can be utilized in web usage mining.  ...  Information Visualization Visualization utilizes feature extraction and key term indexing to build a graphical representation. Through visualization, documents having similarity are found out [12] .  ...  External Crawler crawls through unknown website. Internal crawler crawls through internal pages of the website which are returned by external crawler.  ... 
doi:10.5120/7236-0266 fatcat:zsc5tzbqgvg3vn7l4al4h2e75i

The Present and Future of Internet Search

Wendy Lucas, William Schiano, Katherine Crosett
2001 Communications of the Association for Information Systems  
The evolution in search technology was accompanied by growing economic pressures on search engine companies.  ...  While growing reliance on a small set of search providers is leading to less diversity among search services, Communications of AIS, Volume 5 Article 8 3 The Present and future of Internet Search by W.  ...  Search engine ranking algorithms are often based on standard information retrieval models, including the vector space model and probabilistic models [Harman, 1992 , Gudivada, 1997 .  ... 
doi:10.17705/1cais.00508 fatcat:3pukzmacmrdzzp7p66rwcac6qe

The Continued Saga of DB-IR Integration [chapter]

Ricardo Baeza-Yates, Mariano Consens
2004 Proceedings 2004 VLDB Conference  
. • The "Pick" operator in TIX, it is possible to select appropriate elements based on some relevance criteria among the others in an XML document S: $6.score = ScoreFoo({"search engine"}, {"internet  ...  Hence, it is returned by a standard search engine.  ... 
doi:10.1016/b978-012088469-8.50118-2 dblp:conf/vldb/Baeza-YatesC04 fatcat:2lzk6qlgurgbdoj6do2qtxy2za

Representing information collections for visual cognition

Eunyee Koh, Andruid Kerne, Richard Furuta, Ricardo Gutierrez-Osuna, Yu Ding, Valerie E. Taylor
2009 ACM SIGMultimedia Records  
This research is applicable to represent the information resources in iv contexts such as search engines or digital libraries.  ...  To address these issues, this research develops new collection representations for visual cognition.  ...  The ResultDistributor builds a data structure dynamically based on the number of search queries and the number of search results returned by the search engine(s) (see Figure 27 ).  ... 
doi:10.1145/1660921.1660925 fatcat:lbisqsmsvbbbxobkayshm5f5ha
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