@InProceedings{Schoeffmann2009e, author = {Schoeffmann, Klaus and Lux, Mathias and Taschwer, Mario and Böszörmenyi, Laszlo}, booktitle = {ICME'09 Proceedings of the 2009 IEEE international Conference on Multimedia and Expo}, title = {Visualization of Video Motion in Context of Video Browsing}, year = {2009}, address = {Los Alamitos, CA, USA}, editor = {Lin, CY and Cox, I}, month = jul, pages = {658-661}, publisher = {IEEE}, abstract = {We present a new approach for video browsing using visualization of motion direction and motion intensity statistics by color and brightness variations. Statistics are collected from motion vectors of H.264/AVC encoded video streams, so full video decoding is not required. By interpreting visualized motion patterns of video segments, users are able to quickly identify scenes similar to a prototype scene or identify potential scenes of interest. We give some examples of motion patterns with different semantic value, including camera zooms, hill jumps of ski-jumpers, and the repeated appearance of a news speaker. In a user study we show that certain scenes of interest can be found significantly faster using our video browsing tool than using a video player with VCR-like controls.}, issn = {9781424442911}, language = {EN}, talktype = {none}, url = {http://dl.acm.org/citation.cfm?id=1698924.1699086} }