psu.edu[PDF] K Barnard, D Forsyth - 2001 - computer.org We present a method which organizes image databases using both image features and associated
text. By integrating the two kinds of information during model construction, the system learns
links between the image features and semantics which can be exploited for better ... Cited by 392 - Related articles - All 30 versions
psu.edu[PDF] MS Lew, N Sebe, C Djeraba, R Jain - ACM Transactions on …, 2006 - portal.acm.org 1. INTRODUCTION Multimedia information retrieval (MIR) is about the search for knowledge
in all its forms, everywhere. Indeed, what good is all the knowledge in the world if it is not possible
to find anything? This sentiment is mirrored as an ACM SIGMM grand challenge [Rowe ... Cited by 333 - Related articles - All 17 versions
upatras.gr[PDF] ML Kherfi, D Ziou, A Bernardi - ACM Computing Surveys (CSUR), 2004 - portal.acm.org With the explosive growth of the World Wide Web, the public is gaining access to massive amounts
of information. However, locating needed and relevant information remains a difficult task, whether
the information is textual or visual. Text search engines have existed for some years now ... Cited by 153 - Related articles - BL Direct - All 11 versions
[CITATION] Techniques and data structures for efficient multimedia retrieval based …
psu.edu[PDF] U Gargi, Y Deng, DR Tretter - Proc. SPIE Storage and Retrieval for Media …, 2003 - Citeseer We present a design of a prototype system for managing and searching collections of personal
digital images. The system allows the collection to be stored across a mixture of local and remote
computers and managed seamlessly. It provides multiple ways of organizing and viewing ... Cited by 38 - Related articles - View as HTML - All 14 versions
psu.edu[PDF] H Liu, X Xie, X Tang, ZW Li, WY Ma - Proceedings of the 6th ACM …, 2004 - portal.acm.org Hao Liu 1 , Xing Xie 2 , Xiaoou Tang 1 , Zhi-Wei Li 2 , Wei-Ying Ma 2 ... Microsoft Research Asia
2 5F, Sigma building, No. 49, Zhichun Road Beijing, 100080, PRChina {xingx, i-zli,
wyma}@microsoft.com ... Department of Information Engineering the Chinese University ... Cited by 36 - Related articles - All 13 versions
psu.edu[PDF] T Maenpaa, M Pietikainen - … of Pattern Recognition and Computer Vision, 2005 - Citeseer The LBP operator is a theoretically simple yet very powerful method of analyzing textures. Through
its recent extensions, it has been made into a really powerful measure of image texture, showing
excellent results in terms of accuracy and computational complexity in many empirical ... Cited by 33 - Related articles - View as HTML - All 3 versions
psu.edu[PDF] J Jiang, A Armstrong, GC Feng - Pattern Recognition, 2002 - Elsevier In this paper, we propose a novel design of content access and extraction algorithm for compressed
image browsing and indexing, which is critical for all visual information systems. By analyzing
the relationship between DCT coefficients of one block of 8×8 pixels and its four ... Cited by 27 - Related articles - BL Direct - All 7 versions
psu.edu[PDF] BJ Jansen, A Spink, J Pedersen - Proceedings of the 5th ACM …, 2003 - portal.acm.org Page 1. An Analysis of Multimedia Searching on AltaVista Bernard J. Jansen School
of Information Sciences and Technology The Pennsylvania State University 2P Thomas
Building, University Park PA USA 16802 jjansen@ist.psu.edu ... Cited by 22 - Related articles - All 5 versions
psu.edu[PDF] EL van den Broek, PMF Kisters, LG Vuurpijl - Proceedings of Human …, 2004 - Citeseer We present the concept of intelligent Content-Based Image Retrieval (iCBIR), which incorporates
knowledge concerning human cognition in system development. The present research focuses
on the utilization of color categories (or focal colors) for CBIR purposes, particularly ... Cited by 21 - Related articles - View as HTML - All 17 versions
dlib.org[HTML] P Shabajee - D-Lib Magazine, 2002 - dlib.org On the one hand, developers are unlikely to want (or be able) to restrictively specify who their
users should be and, in particular, how they should use individual assets in their particular educational
contexts. Thus they would not want to tag assets with metadata related to how the object ... Cited by 16 - Related articles - Cached - All 3 versions
psu.edu[PDF] JH Lim, JS Jin - Multimedia Systems, 2005 - Springer Digital Object Identifier (DOI) 10.1007/s00530-004-0158-z Multimedia Systems 10: 317–331
(2005) ... A structured learning framework for content-based image indexing and visual query ... Joo-Hwee Lim 1 , Jesse S. Jin 2 ... 1 Institute for Infocomm Research, 21 Heng Mui ... Cited by 15 - Related articles - All 9 versions
usherb.ca[PDF] ML Kherfi, D Ziou, A Bernardi - Proceedings of the International …, 2003 - dmi.usherb.ca The huge number of images available on the World Wide Web renders it necessary to possess
retrieval engines that allow users to retrieve the sought images in a reasonable time.
However, the most existing engines are devoted to text, omitting visual and multimedia ... Cited by 14 - Related articles - View as HTML
psu.edu[PDF] EL Van Den Broek, PMF Kisters, LG … - Proceedings of the …, 2004 - portal.acm.org ABSTRACT In Content-Based Image Retrieval (CBIR) two query- methods exist: query-by-example
and query-by-memory. 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. ... Cited by 14 - Related articles - All 20 versions
psu.edu[PDF] EL Van Den Broek, LG Vuurpijl, P Kisters, JCM Von … - Proceedings of the Dutch- … - Citeseer 1 Introduction With a median of 14.38 images on each web page (Lyman and Varian, 2000) the
World Wide Web consists to a great extent of images (Lew, 2000). Unfortunately, most Image
Retrieval en- gines are text-based and do not provide the means for searching on image ... Cited by 12 - Related articles - View as HTML - All 14 versions
psu.edu[PDF] K Yanai, M Shindo, K Noshita - Web Intelligence: Research and Development - Springer Department of Computer Science, The University of Electro-Communications 1-5-1
Chofugaoka, Chofu-shi, Tokyo 182-8585, JAPAN {yanai,shindo-m,noshita}@igo.cs.uec.ac.jp ... Abstract. Thanks to the recent explosive progress of WWW (World- Wide Web), we can ... Cited by 12 - Related articles - All 17 versions
tkk.fi[PDF] M Koskela - lib.tkk.fi Dissertation for the degree of Doctor of Science in Technology to be presented with due permission
of the Department of Computer Science and Engineering for public examination and debate
in Auditorium T2 at Helsinki University of Technology (Espoo, Finland) on the 14th of ... Cited by 11 - Related articles - View as HTML - All 6 versions
psu.edu[PDF] R Visser, N Sebe, E Bakker - Image and Video Retrieval - Springer Abstract. Recognition of objects in video can offer significant benefits to video retrieval including
automatic annotation and content based queries based on the object characteristics. This paper
describes our preliminary work toward recognizing objects in video sequences and gives ... Cited by 11 - Related articles - BL Direct - All 18 versions
psu.edu[PDF] B Le Saux, G Amato - Proceedings of the 6th ACM SIGMM …, 2004 - portal.acm.org ABSTRACT The interpretation of natural scenes, generally so obvious and effortless for
humans, still remains a challenge in com- puter vision. To allow the search of image-based documents
in digital libraries, we propose to design classifiers able to annotate images with ... Cited by 10 - Related articles - All 12 versions
PS Szczepaniak, A Niewiadomski - Intelligent exploration of the …, 2003 - portal.acm.org The work focuses on the application of a specific similarity measure of text documents to the
search in the Web for sites of requested content. The decision on similarity is taken on the basis
of fuzzy relations defined for the intuitionistic fuzzy sets while the search may be driven by ... Cited by 8 - Related articles - BL Direct - All 2 versions
