Guest Editorial: Video Recognition

Ivan Laptev, Deva Ramanan, Josef Sivic
2016 International Journal of Computer Vision  
Video Recognition" is a fundamental research area in visual recognition, required for true perceptual understanding in any practical scenario where image streams are processed. Compared to static image analysis, videos introduce several additional challenges and opportunities, including activity parsing, spatiotemporal representation learning, and datadriven temporal learning. Video recognition has seen exciting progress over the last decade. First, new low-level and midlevel video
more » ... ns have opened up the possibility of activity recognition "in the wild" as demonstrated on a number of recent benchmarks composed from YouTube, TV and movie videos. Second, new challenging tasks have been addressed, extending the field beyond activity classification towards modeling the temporal and spatial structure of events as well as relations between human actions, objects and scenes; recognizing person-person and person-object interactions; recognizing group activities and social roles of people; understanding activities in the first-person view video. The goal of this special issue is to present recent papers addressing different aspects of video recognition. The issue contains eight contributions that are briefly discussed below. -"A robust and efficient video representation for action recognition" (doi:10.1007/s11263-015-0846-5) by Wang et al. improves dense trajectory video features by explicit B Ivan Laptev
doi:10.1007/s11263-016-0922-5 fatcat:sksuszyyjrdd5arhy23sfdbkty