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ICASSP
2011
IEEE
12 years 11 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
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...
ICMCS
2008
IEEE
336views Multimedia» more  ICMCS 2008»
14 years 1 months ago
SIMD optimization of the H.264/SVC decoder with efficient data structure
H.264/scalable video coding (SVC) is a new compression technique that can adapt to various network environments and applications. However, despite its outstanding performance, H.2...
Joohyun Lee, Gwanggil Jeon, Sangjun Park, Taeyoung...
ICA
2010
Springer
13 years 8 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
ICMCS
2008
IEEE
151views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Fast keyword detection with sparse time-frequency models
We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...
Effrosini Kokiopoulou, Pascal Frossard, Olivier Ve...