@InCollection{Ressmann2021, author = {Anja Ressmann and Klaus Schoeffmann}, booktitle = {MultiMedia Modeling}, publisher = {Springer International Publishing}, title = {{IVOS - The ITEC Interactive Video Object Search System at VBS 2021}}, year = {2021}, month = jan, number = {12573}, pages = {479--483}, abstract = {We present IVOS, an interactive video content search system that allows for object-based search and filtering in video archives. The main idea behind is to use the result of recent object detection models to index all keyframes with a manageable set of object classes, and allow the user to filter by different characteristics, such as object name, object location, relative object size, object color, and combinations for different object classes – e.g., “large person in white on the left, with a red tie”. In addition to that, IVOS can also find segments with a specific number of objects of a particular class (e.g., “many apples” or “two people”) and supports similarity search, based on similar object occurrences.}, doi = {10.1007/978-3-030-67835-7_48}, keywords = {Content-based video retrieval, Interactive video search, Object detection, Deep learning}, url = {https://link.springer.com/chapter/10.1007/978-3-030-67835-7_48} }