Abstract:
Adaptive neural networks (NN) technologies present a unified solution to a broad spectrum of multimedia applications. In this paper we pointed out that current research f...Show MoreMetadata
Abstract:
Adaptive neural networks (NN) technologies present a unified solution to a broad spectrum of multimedia applications. In this paper we pointed out that current research frontier of multimedia signal processing is shifting from coding (MPEG-1,2,4) to automatic recognition (MPEG-7). Its research domain will cover techniques for object-based representation/coding, segmentation/tracking, pattern detection/recognition, multimodal signals fusion/conversion/synchronization, as well as content-based indexing and subject-based retrieval/browsing. Also, we reported successfully applications of NN for compression, denoising, contrast enhancement, snakes model segmentation/visualization, audio-to-video conversion and content-based processing/indexing/retrieval.
Published in: Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering. NEUREL 2000 (IEEE Cat. No.00EX287)
Date of Conference: 27-27 September 2000
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-5512-1
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Neural Network ,
- Electrical Engineering Applications ,
- Denoising ,
- Contrast Agent ,
- Browsing ,
- Detection Of Patterns ,
- Acoustic ,
- Image Segmentation ,
- Mixture Model ,
- Hidden Markov Model ,
- Energy Function ,
- Speech Recognition ,
- Graphical Model ,
- Digital Networks ,
- Edge Detection ,
- Human Faces ,
- Motion Analysis ,
- Human Visual System ,
- Self-organizing Map ,
- External Energy ,
- Image Compression ,
- Vector Quantization
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Neural Network ,
- Electrical Engineering Applications ,
- Denoising ,
- Contrast Agent ,
- Browsing ,
- Detection Of Patterns ,
- Acoustic ,
- Image Segmentation ,
- Mixture Model ,
- Hidden Markov Model ,
- Energy Function ,
- Speech Recognition ,
- Graphical Model ,
- Digital Networks ,
- Edge Detection ,
- Human Faces ,
- Motion Analysis ,
- Human Visual System ,
- Self-organizing Map ,
- External Energy ,
- Image Compression ,
- Vector Quantization