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» Combining Textual and Visual Features for Image Retrieval
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89
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ITCC
2005
IEEE
15 years 3 months ago
A Comparative Study of Three Moment-Based Shape Descriptors
Shape is one of the fundamental visual features in the Content-based Image Retrieval (CBIR) paradigm. Numerous shape descriptors have been proposed in the literature. These can be...
M. Emre Celebi, Y. Alp Aslandogan
BMCBI
2005
155views more  BMCBI 2005»
14 years 9 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
MM
2005
ACM
141views Multimedia» more  MM 2005»
15 years 3 months ago
SEVA: sensor-enhanced video annotation
In this paper, we study how a sensor-rich world can be exploited by digital recording devices such as cameras and camcorders to improve a user’s ability to search through a larg...
Xiaotao Liu, Mark D. Corner, Prashant J. Shenoy
82
Voted
APGV
2007
ACM
130views Visualization» more  APGV 2007»
15 years 1 months ago
A perceptual approach to trimming unstructured lumigraphs
We present a novel perceptual method to reduce the visual redundancy of unstructured lumigraphs, an image based representation designed for interactive rendering. We combine featu...
Yann Morvan, Carol O'Sullivan
TMM
2010
135views Management» more  TMM 2010»
14 years 4 months ago
Image Classification With Kernelized Spatial-Context
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...