Relevant bibliographies by topics / UAV cinematography

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'UAV cinematography'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "UAV cinematography"

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Mademlis, Ioannis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas, Tilman Wagner, and Alberto Messina. "Autonomous UAV Cinematography." ACM Computing Surveys 52, no. 5 (2019): 1–33. http://dx.doi.org/10.1145/3347713.

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Ioannis, Mademlis, Mygdalis Vasileios, Nikolaidis Nikos, et al. "High-Level Multiple-UAV Cinematography Tools for Covering Outdoor Events." IEEE Transactions on Broadcasting 65, no. 3 (2019): 627–35. https://doi.org/10.1109/TBC.2019.2892585.

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Camera-equipped unmanned aerial vehicles (UAVs), or “drones,” are a recent addition to standard audiovisual shooting technologies. As drone cinematography is expected to further revolutionize media production, this paper presents an overview of the state-of-the-art in this area, along with a brief review of current commercial UAV technologies and legal restrictions on their deployment. A novel taxonomy of UAV cinematography visual building blocks, in the context of filming outdoor events where targets (e.g., athletes) must be actively followed, is additionally proposed. Such a taxo
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Iason, Karakostas, Mademlis Ioannis, Nikolaidis Nikos, and Pitas Ioannis. "Shot type constraints in UAV cinematography for autonomous target tracking." Elsevier Information Sciences 506 (January 1, 2020): 273–94. https://doi.org/10.1016/j.ins.2019.08.011.

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During the past years, camera-equipped Unmanned Aerial Vehicles (UAVs) have revolutionized aerial cinematography, allowing easy acquisition of impressive footage. In this context, autonomous functionalities based on machine learning and computer vision modules are gaining ground. During live coverage of outdoor events, an autonomous UAV may visually track and follow a specific target of interest, under a specific desired shot type, mainly adjusted by choosing appropriate focal length and UAV/camera trajectory relative to the target. However, the selected UAV/camera trajectory and the object tr
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Patrona, Fotini, Paraskevi Nousi, Ioannis Mademlis, Anastasios Tefas, and Ioannis Pitas. "Visual Object Detection For Autonomous UAV Cinematography." Proceedings of the Northern Lights Deep Learning Workshop 1 (February 6, 2020): 6. http://dx.doi.org/10.7557/18.5099.

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The popularization of commercial, battery-powered, camera-equipped, Vertical Take-off and Landing (VTOL) Unmanned Aerial Vehicles (UAVs) during the past decade, has significantly affected aerial video capturing operations in varying domains. UAVs are affordable, agile and flexible, having the ability to access otherwise inaccessible spots. However, their limited resources burden computation cinematography techniques on operating with high accuracy and real-time speed on such devices. State-of-the-art object detectors and feature extractors are, thus, studied in this work, aiming to find a trad
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Ioannis, Mademlis, Nikolaidis Nikos, Tefas Anastasios, Pitas Ioannis, Wagner Tilman, and Messina Alberto. "Autonomous UAV Cinematography: A Tutorial and a Formalized Shot-Type Taxonomy." ACM Computing Surveys 52, no. 5 (2019): 1–33. https://doi.org/10.1145/3347713.

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The emerging field of autonomous UAV cinematography is examined through a tutorial for non-experts, which also presents the required underlying technologies and connections with different UAV application domains. Current industry practices are formalized by presenting a UAV shot-type taxonomy composed of framing shot types, single-UAV camera motion types, and multiple-UAV camera motion types. Visually pleasing combinations of framing shot types and camera motion types are identified, while the presented camera motion types are modeled geometrically and graded into distinct energy consumption c
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Mademlis, Ioannis, Vasileios Mygdalis, Nikos Nikolaidis, et al. "High-Level Multiple-UAV Cinematography Tools for Covering Outdoor Events." IEEE Transactions on Broadcasting 65, no. 3 (2019): 627–35. http://dx.doi.org/10.1109/tbc.2019.2892585.

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Karakostas, Iason, Ioannis Mademlis, Nikos Nikolaidis, and Ioannis Pitas. "Shot type constraints in UAV cinematography for autonomous target tracking." Information Sciences 506 (January 2020): 273–94. http://dx.doi.org/10.1016/j.ins.2019.08.011.

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Ioannis, Mademlis, Nikolaidis Nikos, Tefas Anastasios, Pitas Ioannis, Wagner Tilman, and Messina Alberto. "Autonomous Unmanned Aerial Vehicles Filming In Dynamic Unstructured Outdoor Environments [Applications Corner]." IEEE Signal Processing Magazine 36, no. 1 (2019): 147–53. https://doi.org/10.1109/MSP.2018.2875190.

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The recent mass commercialization of affordable unmanned aerial vehicles (UAVs), known as drones, has significantly altered the media production landscape, allowing for the easy acquisition of impressive aerial footage. Relevant applications include the production of movies, TV shows, or commercials as well as the filming of outdoor events or news stories. In the near future, increased drone autonomy is expected to reduce shooting costs and shift focus to the creative process, rather than the minutiae of UAV operation. This article introduces and surveys the emerging field of autonomous UAV fi
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Soni, Akash, and Dr M. N. Nachappa. "Cinematography Drone with Automated Ability for Self-flight and Maneuverability." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 1874–88. http://dx.doi.org/10.22214/ijraset.2022.41671.

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Abstract: Unmanned Aerial Vehicles or UAVs are an amazing piece of machinery that have proven their usefulness in various industries like construction, military, logistics, filmmaking, etc. They’re either operated remotely by a human controller from the ground or have automated capabilities to control its own flight. But due to several technological and environmental restrictions there are many models that can guarantee complete autonomous behavior of the drone. For being truly autonomous, UAVs will need to get far better at sensing its surroundings and obstacles to decide its own path and rea
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Putra, A. A. Gde Jenana, Porman Pangaribuan, and Agung Surya Wibowo. "IMPLEMENTASI METODE KENDALI FUZZY LOGIC UNTUK KESTABILAN SIKAP QUADCOPTER TERHADAP SUMBU ROLL DAN SUMBU PITCH." TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika 4, no. 2 (2020): 46. http://dx.doi.org/10.25124/tektrika.v4i2.2878.

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Salah satu jenis pesawat Unmanned Aerial Vehicle (UAV) yang sedang berkembang luas di kalangan masyarakat maupun di bidang militer adalah Quadcopter. Quadcopter dapat digunakan untuk melakukan survei lokasi dari udara, dokumentasi, aerial cinematography dan juga dapat melakukan inspeksi rahasia dalam melacak posisi musuh, terutama di wilayah yang tidak aman untuk dilewati para tentara. Pada saat terbang, quadcopter sering mendapatkan hambatan yang dapat menyebabkan kestabilan terganggu, sehingga menyebabkan pergerakan yang tidak diinginkan. Dengan menggunakan Fuzzy Logic Control tipe Sugeno da
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Dissertations / Theses on the topic "UAV cinematography"

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Rousseau, Gauthier. "Optimal trajectory planning and predictive control for cinematographic flight plans with quadrotors." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC086/document.

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Cette thèse s'intéresse à la réalisation autonome de plans de vol cinématographiques par un quadrotor équipé d'une caméra. Ces plans de vol consistent en une série de points de passage à rejoindre successivement, en adoptant diverses méthodes de prise de vue et en respectant des références de vitesses ainsi que des couloirs de vols. Une étude approfondie de la dynamique du quadrotor est tout d'abord proposée et utilisée pour construire un modèle linéarisé du drone autour de l'équilibre de vol stationnaire. L'analyse de ce modèle linéaire permet de mettre en évidence l'impact de l'inertie des r
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Book chapters on the topic "UAV cinematography"

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Aerts Bram, Goedemé Toon, and Vennekens Joost. "A Probabilistic Logic Programming Approach to Automatic Video Montage." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-672-9-234.

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Hiring a professional camera crew to cover an event such as a lecture, sports game or musical performance may be prohibitively expensive. The CAMETRON project aims at drastically reducing this cost by developing an (almost) fully automated system that can produce video recordings of such events with a quality similar to that of a professional crew. This system consists of different components, including intelligent Pan-Tilt-Zoom cameras and UAVs that act as “virtual camera men”. To combine the footage of these different cameras into a single coherent and pleasant-to-watch v
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Conference papers on the topic "UAV cinematography"

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Montes-Grova, Marco A., Vasileios Mygdalis, Francisco J. Pérez-Grau, Antidio Viguria, and Ioannis Pitas. "Photoconsistent and Trajectory Guided Novel-View Synthesis Tool for UAV Cinematography Based on Autoregressive Transformers." In 2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2024. http://dx.doi.org/10.1109/mlsp58920.2024.10734750.

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Pitas, Ioannis, and Ioannis Mademlis. "Autonomous UAV Cinematography." In MM '22: The 30th ACM International Conference on Multimedia. ACM, 2022. http://dx.doi.org/10.1145/3503161.3546970.

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Mademlis, Ioannis, Vasileios Mygdalis, Nikos Nikolaidis, and Ioannis Pitas. "Challenges in Autonomous UAV Cinematography: An Overview." In 2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2018. http://dx.doi.org/10.1109/icme.2018.8486586.

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Karakostas, Iason, Ioannis Mademlis, Nikos Nikolaidis, and Ioannis Pitas. "Shot Type Feasibility in Autonomous UAV Cinematography." In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. http://dx.doi.org/10.1109/icassp.2019.8683014.

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Patsiouras, Emmanouil, Anastasios Tefas, and Ioannis Pitas. "Few-shot Image Recognition for UAV Sports Cinematography." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2020. http://dx.doi.org/10.1109/cvprw50498.2020.00127.

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Zachariadis, Orestis, Vasileios Mygdalis, Ioannis Mademlis, Nikos Nikolaidis, and Ioannis Pitas. "2D visual tracking for sports UAV cinematography applications." In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2017. http://dx.doi.org/10.1109/globalsip.2017.8308599.

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Karakostas, Iason, Ioannis Mademlis, Nikos Nikolaidis, and Ioannis Pitas. "UAV Cinematography Constraints Imposed by Visual Target Tracking." In 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018. http://dx.doi.org/10.1109/icip.2018.8451385.

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Patrona, Fotini, Ioannis Mademlis, Anastasios Tefas, and Ioannis Pitas. "Computational UAV Cinematography for Intelligent Shooting Based on Semantic Visual Analysis." In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803630.

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Sochopoulos, Andreas, Ioannis Mademlis, Evangelos Charalampakis, Sotirios Papadopoulos, and Ioannis Pitas. "Deep Reinforcement Learning with semi-expert distillation for autonomous UAV cinematography." In 2023 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2023. http://dx.doi.org/10.1109/icme55011.2023.00230.

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Soni, Dev, Amith Manoharan, Prakrit Tyagi, and P. B. Sujit. "Learning-based NMPC Framework for Car Racing Cinematography Using Fixed-Wing UAV." In 2022 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2022. http://dx.doi.org/10.1109/icuas54217.2022.9836154.

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Journal articles
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