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SCIA
2009
Springer
130views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
Improving Automatic Video Retrieval with Semantic Concept Detection
We study the usefulness of intermediate semantic concepts in bridging the semantic gap in automatic video retrieval. The results of a series of large-scale retrieval experiments, w...
Markus Koskela, Mats Sjöberg, Jorma Laaksonen
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
Carl Olsson, Martin Byröd, Fredrik Kahl
SCIA
2009
Springer
199views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
Appearance Based Extraction of Planar Structure in Monocular SLAM
This paper concerns the building of enhanced scene maps during real-time monocular SLAM. Specifically, we present a novel algorithm for detecting and estimating planar structure i...
José Martínez-Carranza, Andrew Calwa...
SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
A Hybrid Image Quality Measure for Automatic Image Quality Assessment
Abstract. Automatic image quality assessment has many diverse applications. Existing quality measures are not accurate representatives of the human perception. We present a hybrid ...
Atif Bin Mansoor, Maaz Haider, Ajmal S. Mian, Shoa...
SCIA
2009
Springer
278views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features
In this paper, we propose Local Binary Pattern Histogram Fourier features (LBP-HF), a novel rotation invariant image descriptor computed from discrete Fourier transforms of local b...
Timo Ahonen, Jiri Matas, Chu He, Matti Pietikä...
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
SCIA
2009
Springer
140views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
Fast Prototype Based Noise Reduction
This paper introduces a novel method for noise reduction in medical images based on concepts of the Non-Local Means algorithm. The main objective has been to develop a method that ...
Kajsa Tibell, Hagen Spies, Magnus Borga
SCIA
2009
Springer
117views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
Image Based Quantitative Mosaic Evaluation with Artificial Video
Pekka Paalanen, Joni-Kristian Kämärä...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 2 hour ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson