## 10 Conclusions and Future Directions  
This article proposed an approach to transform a video into an interactive multimedia document. Transforming a video into an interactive document opens up new ways to explore the content of the video as users in addition to watching the video, can consume it in a combination of different modalities and amount of detail, better suited to the context. This article has presented the design and evaluation of RAAVE which transforms a video into an interactive multimodal document to open up new ways to explore its content. The experiments performed in this study currently are narrowed down in the following ways:  
* Only presentation style TED videos are used. * Only query-based scenario for exploration was evaluated. There are many possible directions to pursue further research work. Future directions can be divided into two broad categories:  
* Enhancing feature extractions. * Applying RAAVE in different scenarios. in terms of feature extraction enhancement, the future plan is to incorporate more multimodal features in the representation and evaluate the potential enhancement in the exploration. Some examples are:  
* Visual features such as facial expressions, body movements. * Audio/paralinguistic features. * Linguistic features such as semantic uplift of topic concepts etc. In terms of applying RAAVE to different scenarios, it is our intention to apply the proposed approach on a variety of video content e.g.,  
* Massive Online Open Courses (MOOC) videos. * Training videos. (Lynda, misc. corporate training videos). * Instructional tutorials (how to fix a bike, how to apply makeup etc.). * News footage and documentaries. * Lifelogging videos (meeting recordings, conference calls, video chats)  
As an example consider lifelogging videos particularly meeting recording or recordings of conference calls or video chats. The proposed template-based multimodal representation can be used to provide the ability to explore the content of meeting in a nonlinear and multimodal manner. [PERSON] et al. proposed a hypervideo-based approach to explore meeting recordings [42]. As detailed in state of the art (Section 2), RAAVE extends the idea of nonlinear exploration of video by transforming it into the multimedia document. Similarly, for meeting recordings, the template approach can be applied to create a multimedia brief based on not only the topic of interest or speaker choice [22; 42] but also choose the amount of detail and choice of modality by choosing an appropriate template based on user preference or end user device. In addition to a variety of content, the other dimension is the application of the approach in exploration task scenarios. In future, we intend to test the approach in a variety of situationse.g., automatic curation of news article or multimedia essay from video footage based on a personalization model instead of waiting for the user to execute a query. Another interesting use of the proposed approach is to transform the video content for professional use cases. An example could be allowing the ability to search for information within long video footage and automatically or semi-automatically curating a new multimedia artefact which may be a video, or it may be a multimedia document. Finally, we hope that the proposed idea of transforming content based on context can be expanded to content other than video. The design factors of the representation engine can be used to search heterogeneous data-sources, which could be structured or semi-structured, where the information extracted can be automatically represented or curated as an interactive multimedia document and help create digital narratives on demand. Conceptualization, F.A.S. and O.C. ; formal analysis, F.A.S. and F.H. ; funding acquisition, O.C. ; methodology, F.A.S. and F.H. ; software, F.A.S. ; supervision, O.C. ; validation, S.L. and O.C. ; writing--original draft, F.A.S. and F.H. ; writing--review and editing, F.A.S., F.H., S.L. and O.C. All authors have read and agreed to the published version of the manuscript.