Affiliations: [a] Research Scholar, DLIS, University of Delhi. (E): vats11@rediffmail.com
| [b] Professor and Head, DLIS, University of Delhi. (E): shail3@yahoo.com
Abstract: Retrieval of video information resources depends on the programmes recorded and classified as per the specified category of video, type of programmes, language, and characteristics of the video. It has been noticed that cataloguing of videos is not only challenging but it gets hangs while using the retrieval techniques for the same. The present study includes a correlation between the content and metadata of video information resources that requires input in the form of a sample, may be an image or text. For selection and retrieval from video data, it is necessary to assess the input, extracting the features, and then building a resemblance between the input and the video data picture representations. The video-retrieval method based on content has also been investigated in this present study with the goal of allowing users to acquire the video required by them from the platform quickly and accurately. The study also aims to enhance the use of high-quality video resources. Further, the present study focuses on the storage and retrieval of video information resources in 12 media libraries that includes survey of 293 users involved in retrieval of video information resources.
Keywords: Video information resources, Media libraries, Retrieval of video resources, Content-based retrieval of video, Video characteristics, Video metadata