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» Optimizing Learning in Image Retrieval
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MM
2010
ACM
208views Multimedia» more  MM 2010»
13 years 8 months ago
A new approach to cross-modal multimedia retrieval
The problem of joint modeling the text and image components of multimedia documents is studied. The text component is represented as a sample from a hidden topic model, learned wi...
Nikhil Rasiwasia, Jose Costa Pereira, Emanuele Cov...
MM
2010
ACM
177views Multimedia» more  MM 2010»
13 years 8 months ago
Image tag refinement towards low-rank, content-tag prior and error sparsity
The vast user-provided image tags on the popular photo sharing websites may greatly facilitate image retrieval and management. However, these tags are often imprecise and/or incom...
Guangyu Zhu, Shuicheng Yan, Yi Ma
AUSAI
2005
Springer
14 years 1 months ago
Locating Regions of Interest in CBIR with Multi-instance Learning Techniques
In content-based image retrieval (CBIR), the user usually poses several labelled images and then the system attempts to retrieve all the images relevant to the target concept defi...
Zhi-Hua Zhou, Xiao-Bing Xue, Yuan Jiang
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
13 years 7 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio
CCIW
2009
Springer
14 years 2 months ago
KANSEI Based Clothing Fabric Image Retrieval
: KANSEI is a Japanese term which means psychological feeling or image of a product. KANSEI engineering refers to the translation of consumers' psychological feeling about a p...
Yen-Wei Chen, Shouta Sobue, Xinyin Huang