Ivia: Interactive Video Intelligent Agent Framework for Instructional Video Information Retrieval

Current use of e-learning management systems(ELMS) in educational institutions is on the rise. These systems are rapidly increasing in regards to volume. Instructional video is one type of content that is inherently large in volume and sequential in nature in accessing the videos which makes it difficult to manage and retrieve information. There has been extensive research on video information retrieval in the past decade. Existing systems need pre-processing by human intervention, are cost prohibitive, or do not exhibit the natural interaction. In this paper, we propose a framework for information retrieval of instructional video content in an ELMS that utilizes Natural Language Understanding/PROCESSING and an Intelligent Agent in a seamless integrated environment to address the key issues of the existing solutions.