## 1 Introduction
### Video Exploration  
Video exploration is a complex task which is defined as a combination of tasks such as video retrieval (searching for videos in a collection), video navigation (search within a single video) and video summarization (synopsis of a video) [8; 12]. The presented paper is focused on the navigation and synopsis parts of video exploration. An effective exploration experience may be characterized as an engagement that enables the user to efficiently explore a video to discover content relevant to their needs. However, [PERSON] and [PERSON] [13] observed that due to the complex nature of exploratory search, traditional measures of information retrieval such as efficiency and effectiveness are not adequate to evaluate an exploratory search approach. They consider engagement to be a key quality of the process. Interactive video exploration research (Section 2) stipulates the importance of flexibility in an exploration approach. Therefore, it is our contention that an approach to explore video content should not just be efficient and effective; it should also be engaging and flexibly interactive. In order to identify the relationship with user engagement, it is important to first define user engagement with video content in the current context. According to [PERSON] and [PERSON] [13] user engagement is based on six factors such as Perceived Usability (PUs), Aesthetics (AE), Novelty (NO), Felt Involvement (FI), Focused Attention (FA), and Endurability (EN) aspects of the experience. Specifically for videos [14; 15] analyse user engagement by measuring for how long a user watched a video. Questionnaires are also a very common method for analyzing engagement factors in video artifacts as in [16; 17]. For this paper, the questionnaire used to assess user engagement with video exploration is based on the questionnaire proposed by [PERSON] et al. [18]. It is designed to compare the user experience with two systems and asks the users questions regarding the above-mentioned user engagement factors. This paper describes an approach named An Alternative Representation of Video via feature Extraction (RAAVE) to represent the content of a video to users in order to enhance its exploration potential by providing a more engaging experience. The approach works in two phases. Firstly, state of the art tools are used to extract features along with timestamps from different modalities of the video stream. Then, upon receiving a content request, a representation engine utilizes a template collection to represent the content of a video in an appropriate configuration. A configuration determines the presence and granularity of certain features in order to compose a representation of the source video. A video can have multiple multimodal representations. Therefore, a representation may only have a subset of all available multimodal features. In terms of novel aspects, this paper proposes a novel approach to automatically transform video from a linear stream of content into an adaptive interactive multimedia document, and presents a prototype system based on this approach to support automatic curation of video content on demand. As stated above, this paper focuses on the navigation and synopsis aspect of the video exploration and not on the retrieval. For this reason the evaluation of the proposed video transformation approach focuses on the user ability to explore within a single video contrast to video searching tools which are designed to search over a large collection of videos such as the ones in Video Browser Showdown or VBS [12]. The proposed approach, RAAVE, is designed to be used in conjunction with a video search and retrieval system. The problem RAAVE addresses is, therefore, that of supporting the user in exploring a video to find specific content once a video retrieval system has retrieved video(s) from a large collection.