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University of Illinois at Urbana-Champaign

A Probablistic Framework for Mapping Audio -Visual Features to High-Level Semantics in Terms of Concepts and Context

Abstract

dc:description

The framework is flexible and generic and can therefore be applied easily to applications such as semantic video indexing and filtering, human-computer intelligent interaction, surveillance, and Internet multimedia management.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Naphade, Milind Ramesh
Contributors dc:contributor
  • Huang, Thomas S.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3017170
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/80716

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Naphade, Milind Ramesh. A Probablistic Framework for Mapping Audio -Visual Features to High-Level Semantics in Terms of Concepts and Context. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/80716