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TVCG
2002
123views more  TVCG 2002»
9 years 6 months ago
Information Visualization and Visual Data Mining
Never before in history data has been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data becomes increasingly difficult. Information vi...
Daniel A. Keim
VDB
2000
188views Database» more  VDB 2000»
9 years 8 months ago
Toward feature Algebras in Visual Databases: The Case for a Histogram Algebra
Searching and managing large archives of visual data, such as images and video, is made hard by the lack of proper integration between the visual aspects of the problem (image pro...
Amarnath Gupta, Simone Santini
BMVC
2000
9 years 8 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
DICTA
2003
9 years 8 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
FPL
2001
Springer
96views Hardware» more  FPL 2001»
9 years 11 months ago
System Level Tools for DSP in FPGAs
Abstract. Visual data ow environments are ideally suited for modeling digital signal processing (DSP) systems, as many DSP algorithms are most naturally speci ed by signal ow gra...
James Hwang, Brent Milne, Nabeel Shirazi, Jeffrey ...
ICPR
2002
IEEE
10 years 8 months ago
Fusion of Range and Visual Data for the Extraction of Scene Structure Information
In this paper, a method for inferring 3D structure information based on both range and visual data is proposed. Data fusion is achieved by validating assumptions formed according ...
Haris Baltzakis, Antonis A. Argyros, Panos E. Trah...
ICIP
2005
IEEE
10 years 8 months ago
Spatiotemporal-chromatic structure of natural scenes
We investigate the implications of a unified spatiotemporal-chromatic basis for compression and reconstruction of image sequences. Different adaptive methods (PCA and ICA) are app...
Steven Bergner, Mark S. Drew
ECCV
2004
Springer
10 years 8 months ago
Transformation-Invariant Embedding for Image Analysis
Abstract. Dimensionality reduction is an essential aspect of visual processing. Traditionally, linear dimensionality reduction techniques such as principle components analysis have...
Ali Ghodsi, Jiayuan Huang, Dale Schuurmans
ICCV
2005
IEEE
10 years 9 months ago
Detecting Irregularities in Images and in Video
We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...
Oren Boiman, Michal Irani
CVPR
2008
IEEE
10 years 9 months ago
Summarizing visual data using bidirectional similarity
We propose a principled approach to summarization of visual data (images or video) based on optimization of a well-defined similarity measure. The problem we consider is re-target...
Denis Simakov, Yaron Caspi, Eli Shechtman, Michal ...
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