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» Object Recognition Using Segmentation for Feature Detection
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MEDIAFORENSICS
2010
15 years 8 months ago
Detecting content adaptive scaling of images for forensic applications
Content-aware resizing methods have recently been developed, among which, seam-carving has achieved the most widespread use. Seam-carving's versatility enables deliberate obj...
Claude Fillion, Gaurav Sharma
ICASSP
2011
IEEE
14 years 10 months ago
Localization of non-linguistic events in spontaneous speech by Non-Negative Matrix Factorization and Long Short-Term Memory
Features generated by Non-Negative Matrix Factorization (NMF) have successfully been introduced into robust speech processing, including noise-robust speech recognition and detect...
Felix Weninger, Björn Schuller, Martin Wö...
DAGM
2009
Springer
16 years 1 months ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine
ICPR
2006
IEEE
16 years 7 months ago
Phoneme segmentation of speech
In most approaches to speech recognition, the speech signals are segmented using constant-time segmentation, for example into 25 ms blocks. Constant segmentation risks losing info...
Bartosz Ziólko, Suresh Manandhar, Richard C...
CVPR
2008
IEEE
16 years 8 months ago
Action recognition using ballistic dynamics
We present a Bayesian framework for action recognition through ballistic dynamics. Psycho-kinesiological studies indicate that ballistic movements form the natural units for human...
Shiv Naga Prasad Vitaladevuni, Vili Kellokumpu, La...