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» MOSAIC: A fast multi-feature image retrieval system
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ECCV
2010
Springer
14 years 21 days ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
VLDB
2001
ACM
146views Database» more  VLDB 2001»
14 years 7 months ago
Combining multi-visual features for efficient indexing in a large image database
Abstract. The optimized distance-based access methods currently available for multidimensional indexing in multimedia databases have been developed based on two major assumptions: ...
Anne H. H. Ngu, Quan Z. Sheng, Du Q. Huynh, Ron Le...
ICIP
2004
IEEE
14 years 9 months ago
Online face recognition system for videos based on modified probabilistic neural networks
Video retrieval in consumer applications demands high level semantic descriptors such as people's identity. The problem is that in a variety of videos such as home videos, Ho...
Jun Fan, Nevenka Dimitrova, Vasanth Philomin
CIVR
2007
Springer
178views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Layout indexing of trademark images
Ensuring the uniqueness of trademark images and protecting their identities are the most important objectives for the trademark registration process. To prevent trademark infringe...
Reinier H. van Leuken, M. Fatih Demirci, Victoria ...
CVPR
2004
IEEE
14 years 9 months ago
BoostMap: A Method for Efficient Approximate Similarity Rankings
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...