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» Optimizing Learning in Image Retrieval
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MM
2010
ACM
208views Multimedia» more  MM 2010»
15 years 6 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»
15 years 6 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
15 years 11 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»
15 years 6 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
16 years 14 days 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