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This is a prototype system that supports reverse video search on a large collection of web videos. The search operation is straightforward: you just need to enter the URL of an input video in the “search” box and the system retrieves from its “index” a set of videos that are highly similar in terms of visual appearance. Similar videos often correspond to near-duplicate or partial duplicate versions of the input video, while there are also cases where related videos from the same event are retrieved, and even irrelevant videos may occasionally pop up. We would appreciate your feedback in case you run into irrelevant or surprising results. Feel free to get in touch with the email below.

The video “index” for this prototype system is the FIVR-200K dataset, a collection of more than 200 thousands of videos from YouTube that were posted between the beginning of 2013 and end of 2017 and are related to queries related to natural disasters, accidents and war events. A more detailed analysis of the data collection and annotation process is available in the above link. In addition to this fixed video collection, users of this system can extend the index by issuing new queries to YouTube in the “Add” page. Note that adding videos to index is a relatively time-consuming process, because several queries need to be issued to YouTube and then the videos need to be analysed.

This prototype system has been developed with the support of the Horizon 2020 InVID and WeVerify projects. The backend service and video retrieval algorithm has been developed by Giorgos Kordopatis-Zilos, while the front-end was developed by Lazaros Apostolidis. Contributions in terms of concept, and operational design were made by Symeon Papadopoulos. In case you have any question regarding the prototype system and the underlying research, please get in touch with us.