Lecture: Collaborative Feature Maps for Interactive Video Search
Master data
Title: | Collaborative Feature Maps for Interactive Video Search |
Description: | This extended demo paper summarizes our interface used for the Video Browser Showdown (VBS) 2017 competition, where visual and textual known-item search (KIS) tasks, as well as ad-hoc video search (AVS) tasks in a 600-h video archive need to be solved interactively. To this end, we propose a very flexible distributed video search system that combines many ideas of related work in a novel and collaborative way, such that several users can work together and explore the video archive in a complementary manner. The main interface is a perspective Feature Map, which shows keyframes of shots arranged according to a selected content similarity feature (e.g., color, motion, semantic concepts, etc.). This Feature Map is accompanied by additional views, which allow users to search and filter according to a particular content feature. For collaboration of several users we provide a cooperative heatmap that shows a synchronized view of inspection actions of all users. Moreover, we use collaborative re-ranking of shots (in specific views) based on retrieved results of other users. |
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Type: | Registered lecture |
Homepage: | http://mmm2017.ru.is/ |
Event: | International Conference on Multimedia Modeling (MMM 2017) (Reykjavík) |
Date: | 04.01.2017 |
lecture status: |
Participants
Klaus Schöffmann (internal) |
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Bernd Münzer (internal) |
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Manfred Jürgen Primus (internal) |
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Stefan Petscharnig (internal) |
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Assignment
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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