[Objective] The paper aims to expand the supporting ability of the CSpace Institutional Repository for audios and videos. [Context] The ever-growing audios and videos resources, require us to expand the Institutional Repository’s supporting ability, which help us retrieve knowledge and increase their academic values more effectively. [Methods] First, we analyzed the needs of users and the developments of Institutional Repository’s audios and videos supporting services at home and abroad. Then, we constructed an extension framework for the supporting functions. Finally, we chose the key technologies and methods to build the experimental platform, and explored its feasibility in CSpace. [Results] The proposed method helped us change audios and videos clips’ formats, analyze video scenes and develop a video player with scene navigation functions. [Conclusions] The transcoding technology for audios and videos works effectively. However, other supporting functions could be further improved. The format conversion technology for audios and videos in CSpace could expand its supporting services.
Kuipers T, van der Hoeven J. Insight into Digital Preservation of Research Output in Europe[R]. Survey Report, 2009.
[2]
OpenDOAR [EB/OL]. [2017-06-25]. .
[3]
DSpace [EB/OL]. [2017-06-25]. .
[4]
Fedora [EB/OL]. [2017-06-25]. .
[5]
Strobel S, Marín-Arraiza P.Metadata for Scientific Audiovisual Media: Current Practices and Perspectives of the TIB|AV-portal[C]//Proceedings of Research Conference on Metadata and Semantics Research. Springer, 2015: 159-170.
[6]
Hentschel C, Blümel I, Sack H. Automatic Annotation of Scientific Video Material Based on Visual Concept Detection [C]//Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies. ACM, 2013: Article No. 16.
[7]
Waitelonis J, Ludwig N, Sack H.Use What You Have: Yovisto Video Search Engine Takes a Semantic Turn[C]// Proceedings of the 5th International Conference on Semantic and Digital Media Technologies. 2011: 173-185.
[8]
ScienceCinema [EB/OL]. [2017-06-25]..
[9]
何云峰. 视频内容组织与索引技术研究[D]. 武汉: 华中科技大学, 2011.
[9]
(He Yunfeng.Study on the Video Content Organization and Indexing [D]. Wuhan: Huazhong University of Science and Technology, 2011.)
(Bi Yuxia, Sui Jingbo, Yu Zhanyang.Introduction of China Academic Digital Associative Library[J]. Journal of Medical Informatics, 2012, 33(1): 68-70.)
doi: 10.3969/j.issn.1673-6036.2012.01.017
[11]
王海霞. 基于关键帧的视频信息检索系统的设计与实现[D]. 北京: 北京交通大学, 2007.
[11]
(Wang Haixia.The Design and Implication of the Video Retrieval System Based on the KeyFrame [D]. Beijing: Beijing Jiaotong University, 2007.)
[12]
刘兴洪. 基于内容相似性的图像特征提取[D]. 重庆: 重庆邮电大学, 2007.
[12]
(Liu Xinghong.Image Features Extraction Based on Similar Contents and Concepts[D]. Chongqing: Chongqing University of Posts and Telecommunications, 2007.)
(Wu Zhiqiang, Zhu Zhongming, Liu Wei, et al.The Image Retrieval of LireSolr-Based for Institutional Repository[J]. Research on Library Science, 2016(14): 58-63, 39.)