基于概念对关系的视频多语义概念学习方法研究

计算机科学 ›› 2011, Vol. 38 ›› Issue (4): 244-248.

基于概念对关系的视频多语义概念学习方法研究

陈丹雯.刘然.袁志民.邓莉琼.吴玲达

(国防科技大学信息系统工程重点实验室长沙410073);(装备指挥技术学院北京100000);(中国电子设备系统工程公司北京100000)

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家863高科技计划项目(2009AA01Z335} ,国家自然科学基金项目(60802080),国家自然科学基金(61002020)资助。

Research on Multi-concept Learning Based on Inter-concept Relation

CHEN Dan-wen,LIU Ran,YUAN Zhi-min, DENG Li-qiong,WU Ling-da

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 多语义概念学习是视频检索的重要支持技术。针对此问题提出了基于概念对关系的视频多语义概念学习方法。首先分析大规模语义概念之间存在的概念对关系类型，并根据TRECVID2005标注数据以及Columbia374数据对其进行定量分析;然后利用概念对关系进行基于上下文关系语义概念探测器的相关概念选择，并根据探测器可靠性对相关概念赋予权重，最后根据视觉相似性和单语义概念探测器进行融合。实验证明，该方法能够取得较好的语义概念探测性能。

关键词: 多语义概念学习，概念对关系，语义概念探测

Abstract: Multi-concept learning is a very important technology of video retrieval. This paper gave a method of multi concept learning based on inter-concept relation. First, analysed the types of inter-concept relation in large-scale multi media lexicon, then got ctuantitative analysis with TRECV)D2005 annotation data and Columbia374 data. Second, selected correlative concepts to build context based conceptual fusion detectors, then got weights with reliability of detectors.At last, fused the two detectors with visually similarity. The results show that the proposed method achieves more remarkable and consistent improvement.

Key words: Multi-concept learning, Inter-concept relation, Concept detectors

陈丹雯.刘然.袁志民.邓莉琼.吴玲达. 基于概念对关系的视频多语义概念学习方法研究[J]. 计算机科学, 2011, 38(4): 244-248. https://doi.org/

CHEN Dan-wen,LIU Ran,YUAN Zhi-min, DENG Li-qiong,WU Ling-da. Research on Multi-concept Learning Based on Inter-concept Relation[J]. Computer Science, 2011, 38(4): 244-248. https://doi.org/

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