Relevant bibliographies by topics / Keyframe

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

Academic literature on the topic 'Keyframe'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Keyframe"

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Younessian, Ehsan, and Deepu Rajan. "Content-Based Keyframe Clustering Using Near Duplicate Keyframe Identification." International Journal of Multimedia Data Engineering and Management 2, no. 1 (2011): 1–21. http://dx.doi.org/10.4018/jmdem.2011010101.

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In this paper, the authors propose an effective content-based clustering method for keyframes of news video stories using the Near Duplicate Keyframe (NDK) identification concept. Initially, the authors investigate the near-duplicate relationship, as a content-based visual similarity across keyframes, through the Near-Duplicate Keyframe (NDK) identification algorithm presented. The authors assign a near-duplicate score to each pair of keyframes within the story. Using an efficient keypoint matching technique followed by matching pattern analysis, this NDK identification algorithm can handle ex
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Qu, Zhong, and Teng Fei Gao. "An Improved Algorithm of Keyframe Extraction for Video Summarization." Advanced Materials Research 225-226 (April 2011): 807–11. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.807.

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Video segmentation and keyframe extraction are the basis of Content-based Video Retrieval (CBVR), in which keyframe selection plays the central role in CBVR. In this paper, as the initialization of keyframe extraction, we proposed an improved approach of key-frame extraction for video summarization. In our approach, videos were firstly segmented into shots according to video content, by our improved histogram-based method, with the use of histogram intersection and nonuniform partitioning and weighting. Then, within each shot, keyframes were determined with the calculation of image entropy as
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Gu, Lingchen, Ju Liu, and Aixi Qu. "Performance Evaluation and Scheme Selection of Shot Boundary Detection and Keyframe Extraction in Content-Based Video Retrieval." International Journal of Digital Crime and Forensics 9, no. 4 (2017): 15–29. http://dx.doi.org/10.4018/ijdcf.2017100102.

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The advancement of multimedia technology has contributed to a large number of videos, so it is important to know how to retrieve information from video, especially for crime prevention and forensics. For the convenience of retrieving video data, content-based video retrieval (CBVR) has got great publicity. Aiming at improving the retrieval performance, we focus on the two key technologies: shot boundary detection and keyframe extraction. After being compared with pixel analysis and chi-square histogram, histogram-based method is chosen in this paper. Then we combine it with adaptive threshold
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Kaavya, S., and G. G. Lakshmi Priya. "Static Shot based Keyframe Extraction for Multimedia Event Detection." International Journal of Computer Vision and Image Processing 6, no. 1 (2016): 28–40. http://dx.doi.org/10.4018/ijcvip.2016010103.

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Nowadays, processing of Multimedia information leads to high computational cost due its larger size especially for video processing. In order to reduce the size of the video and to save the user's time in spending their attention on whole video, video summarization is adopted. However, it can be performed using keyframe extraction from the video. To perform this task, a new simple keyframe extraction method is proposed using divide and conquer strategy in which, Scale Invariant Feature Transform (SIFT) based feature representation vector is extracted and the whole video is categorized into sta
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Saqib, Shazia, and Syed Kazmi. "Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method." Entropy 20, no. 10 (2018): 748. http://dx.doi.org/10.3390/e20100748.

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Multimedia information requires large repositories of audio-video data. Retrieval and delivery of video content is a very time-consuming process and is a great challenge for researchers. An efficient approach for faster browsing of large video collections and more efficient content indexing and access is video summarization. Compression of data through extraction of keyframes is a solution to these challenges. A keyframe is a representative frame of the salient features of the video. The output frames must represent the original video in temporal order. The proposed research presents a method
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Chao, Gwo-Cheng, Yu-Pao Tsai, and Shyh-Kang Jeng. "Augmented keyframe." Journal of Visual Communication and Image Representation 21, no. 7 (2010): 682–92. http://dx.doi.org/10.1016/j.jvcir.2010.05.002.

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Zhang, Y., C. Lan, Q. Shi, Z. Cui, and W. Sun. "VIDEO IMAGE TARGET RECOGNITION AND GEOLOCATION METHOD FOR UAV BASED ON LANDMARKS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (September 17, 2019): 285–91. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-285-2019.

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<p><strong>Abstract.</strong> Relying on landmarks for robust geolocation of drone and targets is one of the most important ways in GPS-denied environments. For small drones，there is no direct orientation capability without high-precision IMU. This paper presents an automated real-time matching and geolocation algorithm between video keyframes and landmark database based on the integration of visual SALM and YOLOv3 deep learning network method. The algorithm mainly extracts the landmarks from the drone video keyframe images to improve target geolocation accuracy, and designs
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Rashmi B S and Nagendraswamy H S. "Effective Video Shot Boundary Detection and Keyframe Selection using Soft Computing Techniques." International Journal of Computer Vision and Image Processing 8, no. 2 (2018): 27–48. http://dx.doi.org/10.4018/ijcvip.2018040102.

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The amount of video data generated and made publicly available has been tremendously increased in today's digital era. Analyzing these huge video repositories require effective and efficient content-based video analysis systems. Shot boundary detection and Keyframe extraction are the two major tasks in video analysis. In this direction, a method for detecting abrupt shot boundaries and extracting representative keyframe from each video shot is proposed. These objectives are achieved by incorporating the concepts of fuzzy sets and intuitionistic fuzzy sets. Shot boundaries are detected using co
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Khan, Jalaluddin, Jian Ping Li, Amin Ul Haq, et al. "Efficient secure surveillance on smart healthcare IoT system through cosine-transform encryption." Journal of Intelligent & Fuzzy Systems 40, no. 1 (2021): 1417–42. http://dx.doi.org/10.3233/jifs-201770.

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The emerging technologies with IoT (Internet of Things) systems are elevated as a prototype and combination of the smart connectivity ecosystem. These ecosystems are appropriately connected in a smart healthcare system which are generating finest monitoring activities among the patients, well-organized diagnosis process, intensive support and care against the traditional healthcare operations. But facilitating these highly technological adaptations, the preserving personal information of the patients are on the risk with data leakage and privacy theft in the current revolution. Concerning secu
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Saitoh, Takeshi, Kazutoshi Morishita, and Ryosuke Konishi. "Keyframe Extraction from Utterance Scene and Keyframe-based Word Lip Reading." IEEJ Transactions on Electronics, Information and Systems 131, no. 2 (2011): 418–24. http://dx.doi.org/10.1541/ieejeiss.131.418.

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Dissertations / Theses on the topic "Keyframe"

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Klement, Martin. "Fúze procedurální a keyframe animace." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-235456.

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The goal of this work is to create an application, which will combine procedural and keyfram animations with subsequent visualization. Composition of this two different animations techniques is used to animate a virtual character. To combine this two techniques one starts with interpolations from keyframe animation and then enchance them by procedural animations to properly fit into the characters surroundings. This procedural part of animation is obtained by using forward and inverse kinematics. Whole application is written in C++, uses GLM math library for computations and OpenGL and GLUT fo
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Marlow, Gregory. "Week 05, Video 01: Keyframe Manipulation." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/digital-animation-videos-oer/37.

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Eckstrand, Eric C. "Automatic keyframe summarization of user-generated video." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/42614.

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Approved for public release; distribution is unlimited<br>The explosive growth of user-generated video presents opportunities and challenges. The videos may possess valuable information that was once unavailable. On the other hand, the information may be buried or difficult to access with traditional methods. Automatic keyframe video summarization technologies exist that attempt to address this problem. A keyframe summary can often be viewed quicker than the underlying video. However, a theoretical framework for objectively assessing keyframe summary quality has been absent. The work presented
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Clarkson, Adam James. "Keyframe tagging : unambiguous content delivery for augmented reality environments." Thesis, Durham University, 2015. http://etheses.dur.ac.uk/11332/.

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Context: When considering the use of Augmented Reality to provide navigation cues in a completely unknown environment, the content must be delivered into the environment with a repeatable level of accuracy such that the navigation cues can be understood and interpreted correctly by the user. Aims: This thesis aims to investigate whether a still image based reconstruction of an Augmented Reality environment can be used to develop a content delivery system that providers a repeatable level of accuracy for content placement. It will also investigate whether manipulation of the properties of a Spa
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Degenhardt, Richard Kennedy III. "Self-collision avoidance through keyframe interpolation and optimization-based posture prediction." Thesis, University of Iowa, 2014. https://ir.uiowa.edu/etd/1446.

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Simulating realistic human behavior on a virtual avatar presents a difficult task. Because the simulated environment does not adhere to the same scientific principles that we do in the existent world, the avatar becomes capable of achieving infeasible postures. In an attempt to obtain realistic human simulation, real world constraints are imposed onto the non-sentient being. One such constraint, and the topic of this thesis, is self-collision avoidance. For the purposes of this topic, a posture will be defined solely as a collection of angles formed by each joint on the avatar. The goal of sel
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Concha, Edison Kleiber Titito. "Map point optimization in keyframe-based SLAM using covisibbility graph and information fusion." Universidade Federal do Rio Grande do Sul, 2018. http://hdl.handle.net/10183/180265.

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SLAM (do inglês Simultaneous Localization and Mapping) Monocular baseado em Keyframes é uma das principais abordagens de SLAM Visuais, usado para estimar o movimento da câmera juntamente com a reconstrução do mapa sobre frames selecionados. Estas técnicas representam o ambiente por pontos no mapa localizados em um espaço tri-dimensional, que podem ser reconhecidos e localizados no frame. Contudo, estas técnicas não podem decidir quando um ponto do mapa se torna um outlier ou uma informação obsoleta e que pode ser descartada, ou combinar pontos do mapa que correspondem ao mesmo ponto tri-dimens
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Balzaris, Tomas. "Kadrinės ir skeletinės animacijos metodų palyginimas ir jų taikymas praktikoje." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060606_232857-71695.

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Modern technology and computer science is spreading and developing very fast. The use and facilities evolve too. One of the fields where computer science is widely used – computer games. Computer animation makes games more interactive and attractive to the user. The purpose of this project was to review and analyze the animation techniques used in modern games development. Review file formats witch are used in computer games to store game objects and animation data. Try to point out the strengths and weaknesses of animation techniques. Main attention was committed to skeletal and key frame ani
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Pečenka, Michal. "3D animace postavy v počítačové grafice." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235981.

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The main goal of this project was to familiarize readers with the techniques used in real-time animation of 3D characters. This work is focused on two types of animation: keyframe animation and skeletal animation. There are described algorithms for software and hardware accelerated model deformations, keyframe interpolations, animation blending, inverse kinematics and ragdoll. The result of this project is a framework, which consists of an animation library, examples demonstrating library functions and tools for export animations from 3D Studio Max and MilkShape 3D.
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Holden, Daniel. "Reducing animator keyframes." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28998.

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The aim of this doctoral thesis is to present a body of work aimed at reducing the time spent by animators manually constructing keyframed animation. To this end we present a number of state of the art machine learning techniques applied to the domain of character animation. Data-driven tools for the synthesis and production of character animation have a good track record of success. In particular, they have been adopted thoroughly in the games industry as they allow designers as well as animators to simply specify the high-level descriptions of the animations to be created, and the rest is pr
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Usach, Molina Pau. "TÉCNICAS DE MEJORA DE LA EFICIENCIA DE CODIFICACIÓN DE VÍDEO." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/59446.

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[EN] This Thesis presents a set of tools that allows the improvement of the digital video coding efficiency by exploiting the fundamentals of the state of the art video coding standards. This work has been focused both on research and on the application of the results to the encoding of digital video in real time mobile environments. The first contribution is an automatic shot change detection algorithm integrated in the encoding process. This algorithm is based on the monitoring of the coding mode of the macroblocks of the sequence, and the proper definition of a set of parameters provides ex
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Books on the topic "Keyframe"

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Tinkcom, Matthew, and Amy Villarejo, eds. Keyframes. Taylor & Francis, 2001. http://dx.doi.org/10.4324/9780203279632.

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Keyframes: Popular cinema and cultural studies. New York, 2003.

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Hui, Colin T. KAP: a 3D keyframe animation package. 1985.

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Learning Css3 Animations And Transitions A Handson Guide To Animating In Css3 With Transforms Transitions Keyframe Animations And Javascript. Addison-Wesley Professional, 2012.

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Matthew, Tinkcom, and Villarejo Amy, eds. Keyframes: Popular cinema and cultural studies. Routledge, 2001.

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Tinkcom, Matthew, and Amy Villarejo, eds. Keyframes: Popular Cinema and Cultural Studies. Routledge, 2003. http://dx.doi.org/10.4324/9780203165195.

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Tinkcom, M. Keyframes: Popular Cinema and Cultural Studies. Routledge, 2001.

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Tinkcom, M. Keyframes: Popular Cinema and Cultural Studies. Routledge, 2001.

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Book chapters on the topic "Keyframe"

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Storey, Dudley. "CSS3 Keyframe Animations." In Pro CSS3 Animation. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4723-4_5.

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Thalmann, Nadia Magnenat, and Daniel Thalmann. "Keyframe and Painting Systems." In Computer Animation. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68105-2_5.

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Camastra, Francesco, and Alessandro Vinciarelli. "Video Segmentation and Keyframe Extraction." In Advanced Information and Knowledge Processing. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6735-8_14.

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Nebel, Jean-Christophe. "Keyframe interpolation with self-collision avoidance." In Eurographics. Springer Vienna, 1999. http://dx.doi.org/10.1007/978-3-7091-6423-5_8.

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Storey, Dudley. "CSS3 Keyframe Animations for Web Content." In Pro CSS3 Animation. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4723-4_6.

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Klein, Georg, and David Murray. "Improving the Agility of Keyframe-Based SLAM." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88688-4_59.

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Shih, Huang-Chia. "A Novel Attention-Based Keyframe Detection Method." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22027-2_35.

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Bethel, E. Wesley, and Samuel P. Uselton. "Shape Distortion in Computer-Assisted Keyframe Animation." In State-of-the-art in Computer Animation. Springer Japan, 1989. http://dx.doi.org/10.1007/978-4-431-68293-6_17.

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Nandini, H. M., H. K. Chethan, and B. S. Rashmi. "Keyframe Extraction Using Sobel Fuzzified Weighted Approach." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71187-0_22.

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Arai, Kiyoshi. "Keyframe Animation of Articulated Figures Using Partial Dynamics." In Models and Techniques in Computer Animation. Springer Japan, 1993. http://dx.doi.org/10.1007/978-4-431-66911-1_22.

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Conference papers on the topic "Keyframe"

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Kenwright, Ben, and Chu-Chien Huang. "Beyond keyframe animations." In SIGGRAPH Asia 2013 Technical Briefs. ACM Press, 2013. http://dx.doi.org/10.1145/2542355.2542368.

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Stich, Timo, and Marcus Magnor. "Keyframe Animation from Video." In 2006 International Conference on Image Processing. IEEE, 2006. http://dx.doi.org/10.1109/icip.2006.313075.

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Yuan, Jing, Wei Wang, Weisheng Yang, and Maojun Zhang. "Keyframe extraction using AdaBoost." In 2014 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC). IEEE, 2014. http://dx.doi.org/10.1109/spac.2014.6982663.

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Bae, Juhan, Youngbae Hwang, and Jongwoo Lim. "Semi-online video stabilization using probabilistic keyframe update and inter-keyframe motion smoothing." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7026170.

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Blighe, Michael, Aiden Doherty, Alan F. Smeaton, and Noel E. O'Connor. "Keyframe detection in visual lifelogs." In the 1st ACM international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1389586.1389652.

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Treuille, Adrien, Antoine McNamara, Zoran Popović, and Jos Stam. "Keyframe control of smoke simulations." In ACM SIGGRAPH 2003 Papers. ACM Press, 2003. http://dx.doi.org/10.1145/1201775.882337.

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Dimitrova, Nevenka, Thomas McGee, and Herman Elenbaas. "Video keyframe extraction and filtering." In the sixth international conference. ACM Press, 1997. http://dx.doi.org/10.1145/266714.266876.

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Yao, W., and S. Rahardja. "Dynamic threshold based keyframe detection." In 2010 5th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2010. http://dx.doi.org/10.1109/iciea.2010.5516644.

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Weng, Yanlin, Weiwei Xu, Shichao Hu, Jun Zhang, and Baining Guo. "Keyframe Based Video Object Deformation." In 2008 International Conference on Cyberworlds (CW). IEEE, 2008. http://dx.doi.org/10.1109/cw.2008.52.

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Li, Ping, Yanwen Guo, and Hanqiu Sun. "Multi-keyframe abstraction from videos." In 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6116162.

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