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» Extracting the Essence from Sets of Images
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ICMCS
2007
IEEE
136views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Improvements on Sensor Noise Based Source Camera Identification
In [1], a novel method for identifying the source camera of a digital image is proposed. The method is based on first extracting imaging sensor’s pattern noise from many images...
Yagiz Sutcu, Sevinc Bayram, Husrev T. Sencar, Nasi...
ICDAR
2003
IEEE
15 years 5 months ago
Radon Transform for Lineal Symbol Representation
Content-based retrieval and recognition of graphic images requires good models for symbol representation, able to identify those features providing the most relevant information a...
Oriol Ramos Terrades, Ernest Valveny
WSCG
2003
191views more  WSCG 2003»
15 years 1 months ago
Binary Histogram in Image Classification for Retrieval Purposes
Image retrieval can be considered as a classification problem. Classification is usually based on some image features. In the feature extraction image segmentation is commonly use...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
ISCSCT
2008
IEEE
15 years 6 months ago
Large Scale Scenes Reconstruction from Multiple Views
—In this paper, we present a novel method to reconstruct the large scale scenes from multiple calibrated images. It first generates a quasi-dense 3D point cloud of the scene by m...
Limin Shi, Feng Zhang, Zhenhui Xu, Zhanyi Hu
DASFAA
2007
IEEE
297views Database» more  DASFAA 2007»
15 years 6 months ago
OLYBIA: Ontology-Based Automatic Image Annotation System Using Semantic Inference Rules
One of the big issues facing current content-based image retrieval is how to automatically extract the high-level concepts from images. In this paper, we present an efficient syste...
Kyung-Wook Park, Jin-Woo Jeong, Dong-Ho Lee