Recent trends in neural networks for multimedia processing

Author

Bojkovic, Z. ; Milovanovic, D.

Author_Institution

Saobracajni Fakultet, Beograd, Serbia

fYear

2002

fDate

2002

Firstpage

41

Lastpage

45

Abstract

Multimedia has at its very core the field of signal processing technology. The key attributes of neural processing essential to intelligent multimedia processing are presented. The objective is to show why neural networks are a core technology for efficient representation for audio/visual information. Also, it will be demonstrated how the adaptive neural network technology gives a unified solution to a broad spectrum of multimedia applications including image visualization, subject-based retrieval, face detection and recognitions. Region of interest (ROI) coding as well as multidescription coding functionalities are incorporated, too.

Keywords

encoding; face recognition; information retrieval; knowledge based systems; multimedia systems; neural nets; signal processing equipment; ROI coding; face detection; face recognition; image visualization; intelligent multimedia processing; multidescription coding functionalities; multimedia processing; neural networks; region-of-interest coding; signal processing technology; subject-based retrieval; Face detection; Face recognition; Image retrieval; Information retrieval; Intelligent networks; Motion estimation; Neural networks; Signal processing; Speech recognition; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Network Applications in Electrical Engineering, 2002. NEUREL '02. 2002 6th Seminar on

Print_ISBN

0-7803-7593-9

Type

conf

DOI

10.1109/NEUREL.2002.1057965

Filename

1057965