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ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Relevance Feedback Methods in Content Based Retrieval and Video Summarization
In the current state-of-the-art in multimedia content analysis (MCA), the fundamental techniques are typically derived from core pattern recognition and computer vision algorithms...
Micha Haas, Ard Oerlemans, Michael S. Lew
ACIVS
2005
Springer
14 years 1 months ago
Interactive Object-Based Retrieval Using Relevance Feedback
In this paper we present an interactive, object-based video retrieval system which features a novel query formulation method that is used to iteratively refine an underlying model...
Sorin Sav, Hyowon Lee, Noel E. O'Connor, Alan F. S...
SAC
2003
ACM
14 years 1 months ago
Are Multiagent Algorithms Relevant for Real Hardware? A Case Study of Distributed Constraint Algorithms
Researchers building multi-agent algorithms typically work with abstracted away from real applications. The abstracted problem instances allow systematic and detailed investigatio...
Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Mili...
ACL
2012
11 years 10 months ago
Attacking Parsing Bottlenecks with Unlabeled Data and Relevant Factorizations
Prepositions and conjunctions are two of the largest remaining bottlenecks in parsing. Across various existing parsers, these two categories have the lowest accuracies, and mistak...
Emily Pitler
CVPR
2004
IEEE
14 years 10 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko