Recent trends in neural networks for multimedia processing

Z. Bojkovic, D. Milovanovic
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引用次数: 1

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.
多媒体处理中神经网络的最新发展趋势
多媒体的核心是信号处理技术。介绍了智能多媒体处理所必需的神经处理的关键属性。目的是展示为什么神经网络是有效表示音频/视觉信息的核心技术。此外,还将展示自适应神经网络技术如何为广泛的多媒体应用提供统一的解决方案,包括图像可视化、基于主题的检索、人脸检测和识别。感兴趣区域(ROI)编码以及多描述编码功能也被纳入其中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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