@InProceedings{Leibetseder2018a, title = {Sketch-Based Similarity Search for Collaborative Feature Maps}, author = {Andreas Leibetseder and Sabrina Kletz and Klaus Schöffmann}, booktitle = {MultiMedia Modeling - 24th International Conference, MMM 2018 (Part 2)}, year = {2018}, address = {Berlin}, editor = {Klaus Schöffmann and Thanarat H. Chalidabhongse and Chong-Wah Ngo and Supavadee Aramvith and Noel E. O´Connor and Yo-Sung Ho and Moncef Gabbouj and Ahmed Elgammal}, month = {Januar}, pages = {425--430}, publisher = {Springer}, series = {LNCS}, volume = {10705}, abstract = {Past editions of the annual Video Browser Showdown (VBS) event have brought forward many tools targeting a diverse amount of techniques for interactive video search, among which sketch-based search showed promising results. Aiming at exploring this direction further, we present a custom approach for tackling the problem of finding similarities in the TRECVID IACC.3 dataset via hand-drawn pictures using color compositions together with contour matching. The proposed methodology is integrated into the established Collaborative Feature Maps (CFM) system, which has first been utilized in the VBS 2017 challenge.}, doi = {10.1007/978-3-319-73600-6_45}, url = {https://link.springer.com/chapter/10.1007/978-3-319-73600-6_45} }