@InProceedings{PrimusTrecVID2016, author = {Primus, Manfred Jürgen and Münzer, Bernd and Petscharnig, Stefan and Schoeffmann, Klaus}, booktitle = {Proceedings of TRECVID 2016}, title = {ITEC-UNIKLU Ad-Hoc Video Search Submission 2016}, year = {2016}, address = {NIST, Gaithersburg, MD, USA}, editor = {Awad, George and Fiscus, Jonathan and Michel, Martial and Joy, David and Kraaij, Wessel and Smeaton, Alan F and Quénot, Georges and Eskevich, Maria and Aly, Robin and Jones, Gareth J F and Ordelman, Roeland and Huet, Benoit and Larson, Martha}, month = {nov}, pages = {10}, publisher = {NIST, USA}, abstract = {In this report we describe our approach to the fully automatic Ad-hoc video search task for TRECVID 2016. We describe how we obtain training data from the web, create according CNN models for the provided queries and use them to classify keyframes from a custom sub-shot detection method. The resulting classifications are fed into a Lucene index in order to obtain the shots that match the query. We also discuss our results and point out potentials for further improvements.}, language = {EN}, location = {Gaithersburg, MD, USA}, talkdate = {2016.11.15}, talktype = {poster} }