arrow
返回

Resource-driven content adaptation

delete2006-02-02
delete1
delete
OA
AI
Y
Yung-Hsiang Lu *
D
David S. Ebert
E
Edward J. Delp
DOI:10.1117/12.659736delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Recent trends have created new challenges in the presentation of multimedia information. First, large, high-resolution video displays are increasingly popular. Meanwhile, many mobile devices, such as PDAs and mobile telephones, can display images and videos on small screens. One obvious issue is that content designed for a large display is inappropriate for a small display. Moreover, wireless bandwidth and battery lifetime are precious resources for mobile devices. In order to provide useful content across systems with different resources, we propose resource-driven content adaptation by augmenting the content with metadata that can be used to display or render the content based on the available resources. We are investigating several problems related to resource-driven content adaptation. These include: adaptation of the presented content based on available resources-display resolution, bandwidth, processor speed, quality of services, and energy. Content adaptation may add or remove information based on available resources. Adaptive content can utilize resources more effectively but also present challenges in resource management, content creation, transmission, and user perception.
Keyword:
MPEG-21
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

C
Computational Imaging
IF:
0
论文数:
1
被引数:
0

机构

Purdue University System 封面图
Purdue University System
学者数:
4.0W
论文数: 3.6W
被引数: 66
引用论文

引用论文

暂无论文信息