@InProceedings{Muenzer2013, author = {Münzer, Bernd and Schoeffmann, Klaus and Böszörmenyi, Laszlo}, booktitle = {26th International Symposium on Computer-Based Medical Systems (CBMS'13)}, title = {Detection of Circular Content Area in Endoscopic Videos}, year = {2013}, address = {Porto, Portugal}, editor = {Soda, Paolo}, month = {jun}, pages = {534-536}, publisher = {IEEE}, abstract = {The actual content of endoscopic videos is typically limited to a circular area in the image center. This area has a dynamic position and size and is surrounded by a dark, but noisy border. In this paper we present a novel algorithm that (1) classifies which frames of an endoscopic video feature the circular content area and (2) determines its exact position and size, if present. This information is very useful for improving the performance of subsequent analysis techniques. It can also be used for more efficient video encoding and economic printing of still images in findings and reports. The evaluation shows that the proposed method is very accurate, robust and efficient in terms of runtime.}, doi = {10.1109/CBMS.2013.6627865}, language = {EN}, location = {Porto, Portugal}, talkdate = {2013.06.20}, talktype = {poster} }