LZI - Schloss Dagstuhl - Talks + Materials of Seminar 06171
Seminar 06171 Content-Based Retrieval
T. Crawford (Goldsmiths College - London, GB), R. Veltkamp (Utrecht Univ., NL)
Seminar Wide Materials
Executive Summary 06171
Abstracts: DROPS-Submission:
Upload or overwrite a document file and/or change title of talk
Due to caching problems of microsofts internet explorer concerning dynamic webpages, sometimes newly uploaded files are not shown. By pressing [CTRL]+[F5], the page is completely reloaded.
Ira Assent , RWTH Aachen
Efficient multi-step query processing for EMD-based similarity
Abstracts: Slides:
Efficient multi-step query processing for EMD-based similarity
Abstracts: Slides: DROPS-Submission:
Ronen Basri , Weizmann Inst. - Rehovot
From pixels to semantics: methods for analysing image content
Abstracts:
Martijn Bosma , Utrecht University
Muugle: A Modular Music Information Retrieval Framework
Abstracts: Slides:
Michael Casey , Goldsmiths College - London
Efficient Approximate Audio Matching by Hashing
Abstracts:
Tim Crawford , Goldsmiths College - London
After the search is over
the work begins
Abstracts: DROPS-Submission:
Masataka Goto , AIST - Ibaraki
Musicream: Music Playback Interface for Streaming, Sticking, Sorting, and Recalling Musical Pieces
Abstracts: Paper:
Alan Hanjalic , Delft Univ. of Technology
Paradigm Shifts in Video Content Analysis Needed: The Why's and How's of Generic VCA Solutions
Abstracts:
Frank Kurth , Universität Bonn
Some Principles for Constructing Robust and Semantically Meaningful Audio Features
Abstracts:
Rolf Lakaemper , Temple University - Philadelphia
Partial Shape Similarity Using Edge Groups Detected by Extended EM
Abstracts:
Kjell Lemström , University of Helsinki
Geometric Algorithms for Transposition Invariant Content-Based Music Retrieval of Symbolically Encoded Music
Abstracts:
Micheline Lesaffre , Ghent University
A user-oriented approach to Music Information retrieval
Abstracts: Slides: DROPS-Submission:
Simone Marini , CNR - Genova
Partial Matching by Structural Descriptors
Abstracts:
Partial Matching by Structural Descriptors
Abstracts: DROPS-Submission:
David Meredith , Goldsmiths College - London
Point-set algorithms for pattern discovery and pattern matching in music
Abstracts: Slides:
Point-set algorithms for pattern discovery and pattern matching in music
Abstracts: DROPS-Submission:
Meinard Mueller , Universität Bonn
Automatic Classification and Retrieval of Motion Capture Data
Abstracts:
Chong-Wah Ngo , City University - Hong Kong
Discovery of Near-duplicate and Common Visual Concepts
Abstracts: Slides: Paper: Other:
Jeremy Pickens , FX Palo Alto Laboratory
Content-based Retrieval in a Web 2.0 World
Abstracts:
Paul Rosin , Cardiff University
Cognitive Aspects of Computing Shape
Abstracts: Slides:
Dietmar Saupe , Universität Konstanz
Visual Feature Space Analysis
Abstracts:
Ludmila Scharf , FU Berlin
Probabilistic Algorithms for Matching Images
Abstracts: Slides:
Michela Spagnuolo , CNR - Genova
3D Shape Descriptions for Matching and Retrieval
Abstracts: DROPS-Submission:
Ayellet Tal , Technion - Haifa
Semantic-Oriented 3D Shape Retrieval using Relevance Feedback
Abstracts:
Jan Van Gemert , University of Amsterdam
Robust Scene Categorization by Learning Image Statistics in Context
Abstracts:
Remco Veltkamp , Utrecht University
Properties and Performances of Shape Similarity Measures
Abstracts: Slides: DROPS-Submission:
Shankar Vembu , DFKI Kaiserslautern
Are we ready to embrace the semantic web?
Abstracts: Slides: DROPS-Submission:
Frans Wiering , Utrecht University
WITCHCRAFT: Melody retrieval in Dutch folksongs
Slides:
WITCHCRAFT: Melody retrieval in Dutch folksongs
Abstracts: DROPS-Submission:
All data on this page is
Copyright © by LZI - Schloss Dagstuhl GmbH,
D-66687 Wadern, Germany
Downloading and accessing this page for personal use is
permitted and free of charge. Accessing this page for
commercial use and/or indexing it in order to make it
searchable is strictly prohibited without prior written
consent.
Phone: +49 - 681 / 302 - 4398, Fax: +49 - 681 / 302 - 4397,
E-mail: service (at) dagstuhl.de