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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 11 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
JMLR
2010
130views more  JMLR 2010»
13 years 5 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
ICMCS
2006
IEEE
177views Multimedia» more  ICMCS 2006»
14 years 4 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...
SPIESR
2003
136views Database» more  SPIESR 2003»
14 years 4 days ago
Media segmentation using self-similarity decomposition
We present a framework for analyzing the structure of digital media streams. Though our methods work for video, text, and audio, we concentrate on detecting the structure of digit...
Jonathan Foote, Matthew L. Cooper
ICCSA
2004
Springer
14 years 4 months ago
XCRAB: A Content and Annotation-Based Multimedia Indexing and Retrieval System
During recent years, a new framework, which aims to bring a unified and global approach in indexing, browsing and querying various digital multimedia data such as audio, video and ...
Seungmin Rho, SooCheol Lee, Eenjun Hwang, YangKyoo...