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» Nomograms for visualizing support vector machines
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ECCV
2010
Springer
13 years 8 months ago
Towards Computational Models of Visual Aesthetic Appeal of Consumer Videos
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...
ICASSP
2011
IEEE
12 years 11 months ago
Audiovisual classification of vocal outbursts in human conversation using Long-Short-Term Memory networks
We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
Florian Eyben, Stavros Petridis, Björn Schull...
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
14 years 1 months ago
Ontology-Driven Semantic Video Analysis Using Visual Information Objects
In this paper, an ontology-driven approach for the semantic analysis of video is proposed. This approach builds on an ontology infrastructure and in particular a multimedia ontolog...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
IWDW
2005
Springer
14 years 1 months ago
Towards Multi-class Blind Steganalyzer for JPEG Images
In this paper, we use the previously proposed calibrated DCT features [9] to construct a Support Vector Machine classifier for JPEG images capable of recognizing which steganograp...
Tomás Pevný, Jessica J. Fridrich
SAC
2009
ACM
14 years 2 months ago
Visual detection of novel terrain via two-class classification
Remote sensing of terrain characteristics is an important component for autonomous operation of mobile robots in natural terrain. Often this involves classification of terrain int...
Christopher A. Brooks, Karl Iagnemma