1. S. Han et al., "Efficient generation of image chips for training deep learning algorithms," in SPIE Defense + Security, Anaheim, California, United States, 2017.
2. M. Dawkins et al., "An open-source platform for underwater image and video analytics," in IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, USA, 2017.
3. M. Turek et al., "Real-time, full-frame wide area motion imagery analytics," in Military Sensing Symposia - Passive Sensors, 2015.
4. A. Hoogs et al., "An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement," in IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), Karlsruhe, Germany, 2015.
5. K. Fieldhouse et al., "KWIVER: An open source cross-platform video exploitation framework," in Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, 2014.
6. A. Basharat et al., "Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery," in IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, USA, 2014.