Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Camera-equipped mini-UAVs are popular for many applications, including search and surveillance, but video from them is commonly plagued with distracting jittery motions and disorienting rotations that make it difficult for human viers to detect objects of interest and infer spatial relationships. For time-critical search situations there are also inherent tradeoffs beten detection and search speed. These problems make the use of dynamic mosaics to expand the spatiotemporal properties of the video appealing. Hover, for many applications it may not be necessary to maintain full mosaics of all of the video but to mosaic and retain only a number of recent (temporally local) frames, still providing a larger field of view and effectively longer temporal view as ll as natural stabilization and consistent orientation.  presents and evaluates a real-time system for displaying live video to human observers in search situations by using temporally local mosaics while avoiding masking effects from dropped or noisy frames. Its primary contribution is an empirical study of the effectiveness of using such methods for enhancing human detection of objects of interest, which shows that temporally local mosaics increase task performance and are easier for humans to use than non-mosaiced methods, including stabilized video.
['Bryan S. Morse', 'Damon Gerhardt', 'Cameron Engh', 'Michael A. Goodrich', 'Nathan D. Rasmussen', 'Daniel R. Thornton', 'Dennis L. Eggett']
I am writing a research paper on a idea Application and evaluation of spatiotemporal enhancement of live aerial video using temporally local mosaics
[{"from": "human", "value": "I am writing a research paper on a idea Application and evaluation of spatiotemporal enhancement of live aerial video using temporally local mosaics"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Camera-equipped mini-UAVs are popular for many applications, including search and surveillance, but video from them is commonly plagued with distracting jittery motions and disorienting rotations that make it difficult for human viers to detect objects of interest and infer spatial relationships. For time-critical search situations there are also inherent tradeoffs beten detection and search speed. These problems make the use of dynamic mosaics to expand the spatiotemporal properties of the video appealing. Hover, for many applications it may not be necessary to maintain full mosaics of all of the video but to mosaic and retain only a number of recent (temporally local) frames, still providing a larger field of view and effectively longer temporal view as ll as natural stabilization and consistent orientation.  presents and evaluates a real-time system for displaying live video to human observers in search situations by using temporally local mosaics while avoiding masking effects from dropped or noisy frames. Its primary contribution is an empirical study of the effectiveness of using such methods for enhancing human detection of objects of interest, which shows that temporally local mosaics increase task performance and are easier for humans to use than non-mosaiced methods, including stabilized video."}]