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» Location Recognition Using Prioritized Feature Matching
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CVPR
2008
IEEE
16 years 1 months ago
Object recognition and segmentation by non-rigid quasi-dense matching
In this paper, we present a non-rigid quasi-dense matching method and its application to object recognition and segmentation. The matching method is based on the match propagation...
Esa Rahtu, Janne Heikkilä, Juho Kannala, Sami...
INTERSPEECH
2010
14 years 6 months ago
Invariant integration features combined with speaker-adaptation methods
Speaker-normalization and -adaptation methods are essential components of state-of-the-art speech recognition systems nowadays. Recently, so-called invariant integration features ...
Florian Müller, Alfred Mertins
MM
2010
ACM
221views Multimedia» more  MM 2010»
14 years 12 months ago
Building book inventories using smartphones
Manual generation of a book inventory is time-consuming and tedious, while deployment of barcode and radio-frequency identification (RFID) management systems is costly and afforda...
David M. Chen, Sam S. Tsai, Bernd Girod, Cheng-Hsi...
CRV
2005
IEEE
124views Robotics» more  CRV 2005»
15 years 1 months ago
View Matching with Blob Features
This paper introduces a new region based feature for object recognition and image matching. In contrast to many other region based features, this one makes use of colour in the fe...
Per-Erik Forssén, Anders Moe
SSPR
2004
Springer
15 years 5 months ago
Tracking the Evolution of a Tennis Match Using Hidden Markov Models
The creation of a cognitive perception systems capable of inferring higher-level semantic information from low-level feature and event information for a given type of multimedia co...
Ilias Kolonias, William J. Christmas, Josef Kittle...