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» Features for Content-Based Audio Retrieval
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ICPR
2008
IEEE
14 years 3 months ago
Interactive feature visualization for image retrieval
Most systems for content based image retrieval (CBIR) employ low level image features as a similarity measure. The problem of CBIR systems is that they are a “black box” to th...
Johannes Imo, Sebastian Klenk, Gunther Heidemann
MM
2006
ACM
148views Multimedia» more  MM 2006»
14 years 2 months ago
Audio similarity measure by graph modeling and matching
This paper proposes a new approach for the similarity measure and ranking of audio clips by graph modeling and matching. Instead of using frame-based or salient-based features to ...
Yuxin Peng, Chong-Wah Ngo, Cuihua Fang, Xiaoou Che...
ICMCS
2006
IEEE
177views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Mixed Type Audio Classification with Support Vector Machine
Content-based classification of audio data is an important problem for various applications such as overall analysis of audio-visual streams, boundary detection of video story se...
Lei Chen 0002, Sule Gündüz, M. Tamer &Ou...
ICMCS
2007
IEEE
128views Multimedia» more  ICMCS 2007»
13 years 8 months ago
A Vector-Based Approach to Broadcast Audio Database Indexing and Retrieval
This paper proposes a novel framework to index and retrieve audio content from broadcast database that contains both speech and music. In this framework, we model the acoustic eve...
Lei Wang, Haizhou Li, Engsiong Chng
CLEF
2004
Springer
14 years 2 months ago
Medical Image Retrieval Using Texture, Locality and Colour
We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used textur...
Peter Howarth, Alexei Yavlinsky, Daniel Heesch, St...