Multimedia Exercise
Pivoting M-tree: A Metric Access Method for Efficient Similarity Search Tomáš Skopal [email protected] Department of Computer Science, VŠB-Technical.
Chap8: Trends in DBMS 8.1 Database support for Field Entities 8.2 Content-based retrieval 8.3 Introduction to spatial data warehouses 8.4 Summary.
Research Update and Future Work Directions – Jan 18, 2006 – Ognjen Arandjelović Roberto Cipolla.
Lost in Memories Interacting With Large Photo Collections on PDAs Susumu Harada, Mor Naaman*, Yee Jiun Song, QianYing Wang, Andreas Paepcke Digital Library.
Video Search Engines and Content-Based Retrieval Steven C.H. Hoi CUHK, CSE 18-Sept, 2006.
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TREC 2003 Video Retrieval Evaluation Overview Coordinators: Alan Smeaton Centre for Digital Video Processing Dublin City University Wessel Kraaij Department.
JISCrte Meeting, May 25,2011 Dr. Yu Qian School of Engineering Information Sciences, Middlesex University [email protected] Repository @ .
GS & AS, Bahria University, Islambad DIP, Spring 2012 1 Spatial Filtering: Basics Neighbourhood operations: Operate on a larger neighbourhood of pixels.
Beyond Content-Based Retrieval: Modeling Domains, Users and Interaction Susan Dumais Microsoft Research sdumais IEEE ADL’99.
Pivoting M-tree: A Metric Access Method for Efficient Similarity Search