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CVPR
2008
IEEE
14 years 7 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
SIGIR
2011
ACM
12 years 8 months ago
Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval
The Bag-Of-Visual-Words (BOVW) paradigm is fast becoming a popular image representation for Content-Based Image Retrieval (CBIR), mainly because of its better retrieval effectiven...
Savvas A. Chatzichristofis, Konstantinos Zagoris, ...
ICMCS
2007
IEEE
167views Multimedia» more  ICMCS 2007»
14 years 3 days ago
Retrieving Web Images to Enrich Music Representation
Audiovisual media which integrates visual media with audio to enrich music representation, such as music video (MV) or music slideshow, is now more welcome than only audio. In thi...
Zhi-Kun Wang, Rui Cai, Lei Zhang, Yu Zheng, Jian-M...
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
14 years 11 days ago
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
Vasileios Chasanis, Argyris Kalogeratos, Aristidis...
CVPR
2007
IEEE
14 years 7 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...