视频检索中图像信息量度量

袁庆升; 张冬明; 靳国庆; 刘菲; 包秀国

doi:10.11959/j.issn.1000-436x.2016033

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视频检索中图像信息量度量

学术论文 | 更新时间：2024-06-05

- 视频检索中图像信息量度量
- Image information measurement for video retrieval
- 通信学报 2016年37卷第2期页码：81-88
- 作者机构：
  
  1. 中国科学院信息工程研究所，北京 100193
  2. 国家计算机网络应急技术处理协调中心，北京 100029
  3. 中国科学院智能信息处理重点实验室，北京 100190
  4. 中国科学院计算技术研究所，北京 100190
- 作者简介：
  
  [ "袁庆升（1980），男，山东济南人，中国科学院信息工程研究所博士生，国家计算机网络应急技术处理协调中心副高级工程师，主要研究方向为多媒体大数据处理、网络与信息安全。" ]
  [ "张冬明（1977），男，江苏盐城人，中国科学院计算技术研究所副研究员、硕士生导师，主要研究方向为多媒体内容检索、模式识别、视频编码等。" ]
  [ "靳国庆（1988），男，山东单县人，主要研究方向为多媒体内容检索、模式识别等。" ]
  [ "刘菲（1989），女，河北唐山人，中国科学院计算技术研究所硕士生，主要研究方向为多媒体内容检索。" ]
  [ "包秀国（1963），男，江苏如皋人，国家计算机网络应急技术处理协调中心教授级高级工程师、博士生导师，主要研究方向为网络与信息安全。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61273247);国家自然科学基金资助项目(61303159);国家自然科学基金资助项目(61271428);国家高技术研究发展计划(863计划)基金资助项目(2013AA013205)
- DOI：10.11959/j.issn.1000-436x.2016033
  中图分类号： TP37
- 网络出版日期：2016-02，
  
  纸质出版日期：2016-02-15
- 稿件说明：
移动端阅览
袁庆升, 张冬明, 靳国庆, 等. 视频检索中图像信息量度量[J]. 通信学报, 2016,37(2):81-88.

Qing-sheng YUAN, Dong-ming ZHANG, Guo-qing JIN, et al. Image information measurement for video retrieval[J]. Journal on communications, 2016, 37(2): 81-88.
袁庆升, 张冬明, 靳国庆, 等. 视频检索中图像信息量度量[J]. 通信学报, 2016,37(2):81-88. DOI： 10.11959/j.issn.1000-436x.2016033.

Qing-sheng YUAN, Dong-ming ZHANG, Guo-qing JIN, et al. Image information measurement for video retrieval[J]. Journal on communications, 2016, 37(2): 81-88. DOI： 10.11959/j.issn.1000-436x.2016033.

摘要

综合考虑信息量度量的速度、性能要求，提出了相适应的显著图、多特征融合模型；基于区域划分融入空间关系，提出了分块信息熵的图像信息量度量方法（SEII）；构建了信息量度量的标注数据集，并设计了性能验证方法。实验结果表明该度量方法符合人眼视觉的评价结果。度量方法在实际视频检索系统中进行对比应用测试，测试表明mAP提高4.4%，检索速度提高1.5倍。

Abstract

To meet the speed and performance requirements

Sub-region entropy based image information measurement (SEII)method was proposed

which integrates the salie region detection

region division and features fusion. And

performance evaluation method was designed and many experiments were carried out

proving SEII coordinates with human vision evaluation.Also

SEII is evaluated in a real video retrieval system

which shows increase about 4.4% of mAP with 1.5 times speedup.

关键词

Keywords

references

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