STIMULATE: Video Scene Segmentation and Classification Using Motion Information
刺激:使用运动信息进行视频场景分割和分类
基本信息
- 批准号:9619114
- 负责人:
- 金额:$ 53.85万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-03-01 至 2001-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A video sequence is a rich multimodal information source, including speech, text, audio (non-speech portion), color patterns and shapes of imaged objects (reflected in individual frames), and motion of these objects (revealed by changes between frames). Although the human being can quickly interpret the embedded semantic content from the information carried by different modalities, computer understanding of a video sequence is still in a primitive stage. The aim of this project is to develop new theory and techniques for scene segmentation and classification in a video sequence, which is key to video understanding. Research in this arena has in the past several years focused on the use of text, speech and image information. The proposed research explores the use of motion and audio characteristics, which will provide important complimentary information. New results are anticipated both in the general theory of feature analysis and classification, and in practical techniques for video understanding and scene classification. These new developments will have direct applications in information indexing and retrieval in multimedia databases, spotting and tracking of special events in surveillance video, video editing and movie stratification, etc.
视频序列是一个丰富的多模态信息源,包括语音、文本、音频(非语音部分)、图像对象的颜色模式和形状(反映在单个帧中)以及这些对象的运动(通过帧之间的变化显示出来)。虽然人类可以快速地从不同模态所携带的信息中解读出嵌入的语义内容,但计算机对视频序列的理解还处于初级阶段。本项目的目的是开发视频序列中场景分割和分类的新理论和技术,这是视频理解的关键。在过去的几年里,这一领域的研究主要集中在文本、语音和图像信息的使用上。提出的研究探索了运动和音频特性的使用,这将提供重要的补充信息。预计在特征分析和分类的一般理论以及视频理解和场景分类的实用技术方面都会有新的结果。这些新进展将直接应用于多媒体数据库的信息索引和检索、监控录像中特殊事件的发现和跟踪、录像编辑和电影分层等方面。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yao Wang其他文献
Hepatic amyloidosis in a patient with chronic liver failure: A case report
慢性肝衰竭患者的肝淀粉样变性:一例报告
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:1.1
- 作者:
Yan Chen;Jing Peng;Yao Wang;Li;Fang Liu;Yin;Xiong;Lu - 通讯作者:
Lu
Synergetically intrafibrillar/extrafibrillar mineralization of collagen scaffolds based on a biomimetic strategy to promote the regeneration of bone defects
基于仿生策略的胶原蛋白支架纤维内/纤维外协同矿化促进骨缺损再生
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:8
- 作者:
Yao Wang;Ngo Van Manh;Haorong Wang;Xue Zhong;Xu Zhang;Changyi Li - 通讯作者:
Changyi Li
A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration.
预测内皮干细胞和间充质干细胞用于组织再生的共培养动力学的数学模型。
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Yao Wang;T. Bronshtein;Udi Sarig;E. Nguyen;F. Boey;S. Venkatraman;M. Machluf - 通讯作者:
M. Machluf
Information Fusion of Digital Camera and Radar
数码相机与雷达信息融合
- DOI:
10.1109/imbioc.2019.8777799 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Jiexin Ren;Yao Wang;Yubing Han;Ren - 通讯作者:
Ren
Interdiffusion and atomic mobility in the bcc Ti–rich Ti–Cr–Mn system
bcc Ti–rich Ti–Cr–Mn 体系中的相互扩散和原子迁移率
- DOI:
10.1016/j.calphad.2020.101747 - 发表时间:
2020-03 - 期刊:
- 影响因子:0
- 作者:
Jingjing Zhou;Yang Xu;Zhenyu Zhang;Chenggong Gong;Liujie Xu;Yao Wang;Weimin Chen - 通讯作者:
Weimin Chen
Yao Wang的其他文献
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{{ truncateString('Yao Wang', 18)}}的其他基金
EAGER-QAC-QSA: Quantum Algorithms for Correlated Electron-Phonon System
EAGER-QAC-QSA:相关电子声子系统的量子算法
- 批准号:
2337930 - 财政年份:2023
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
CRCNS Research Proposal: Novel computational approaches for neural speech prostheses and causal dynamics of language processing
CRCNS 研究提案:神经语音假体和语言处理因果动力学的新型计算方法
- 批准号:
2309057 - 财政年份:2023
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
EAGER-QAC-QSA: Quantum Algorithms for Correlated Electron-Phonon System
EAGER-QAC-QSA:相关电子声子系统的量子算法
- 批准号:
2038011 - 财政年份:2021
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
CRCNS Research Proposal: Understanding Cortical Networks Related to Speech Using Deep Learning on ECOG Data
CRCNS 研究提案:利用 ECOG 数据的深度学习了解与语音相关的皮层网络
- 批准号:
1912286 - 财政年份:2019
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
I-Corps: Lymphedema Intervention Exercise for Breast Cancer Survivors
I-Corps:乳腺癌幸存者的淋巴水肿干预运动
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1740385 - 财政年份:2017
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
CIF: Small: High Resolution EEG Signal Analysis for Seizure Detection and Treatment
CIF:小型:用于癫痫检测和治疗的高分辨率脑电图信号分析
- 批准号:
1422914 - 财政年份:2014
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
CISE Research Instrumentation: Integrated Video Encoding and Networking
CISE 研究仪器:集成视频编码和网络
- 批准号:
9730028 - 财政年份:1998
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
Teaching of Multimedia Information Processing & Communications
多媒体信息处理教学
- 批准号:
9650586 - 财政年份:1996
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
RIA: Object-Oriented Motion Decomposition and Estimation with Application to Low-Bit-Rate Video Coding
RIA:面向对象的运动分解和估计及其在低比特率视频编码中的应用
- 批准号:
9211481 - 财政年份:1992
- 资助金额:
$ 53.85万 - 项目类别:
Standard Grant
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