The IMOTION system is a multimodal content-based video search and browsing application offering a rich set of query modes on the basis of a broad range of different features. It is able to scale with the size of the collection due to its underlying flexible polystore called ADAMpro and its very effective retrieval engine Cineast, optimized for multi-feature fusion. IMOTION is simultaneously geared towards precision-focused searches, i.e., known-item search with image or text queries, and recall-focused, exploratory searches. In this demo, we will present the 2017 IMOTION system deployed on the IACC.3 collection consisting of 600 hours of Internet Archive video, which was also used in the TRECVID 2016 Ad-Hoc Video Search and in the 2017 Video Browser Showdown (VBS) challenge in which IMOTION ranked first. Conference attendees will have the chance to interact with the 2017 IMOTION system and quickly solve various retrieval tasks.

vitrivr is an open source full-stack content-based multimedia retrieval system with focus on video. Unlike the majority of the existing multimedia search solutions, vitrivr is not limited to searching in metadata, but also provides content-based search and thus offers a large variety of different query modes which can be seamlessly combined: Query by sketch, which allows the user to draw a sketch of a query image and/or sketch motion paths, Query by example, keyword search, and relevance feedback. The vitrivr architecture is self-contained and addresses all aspects of multimedia search, from offline feature extraction, database management to frontend user interaction. The system is composed of three modules: a web-based frontend which allows the user to input the query (e.g., add a sketch) and browse the retrieved results (vitrivr-ui), a database system designed for interactive search in large-scale multimedia collections (ADAM), and a retrieval engine that handles feature extraction and feature-based retrieval (Cineast). The vitrivr source is available on GitHub under the MIT open source (and similar) licenses and is currently undergoing several upgrades as part of the Google Summer of Code 2016.