Academic literature on the topic 'Video summary'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Video summary.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Video summary"
Lessick, Susan. "SURA/ViDe Digital Video Workshop: A Summary." Library Hi Tech News 21, no. 5 (June 2004): 12–13. http://dx.doi.org/10.1108/07419050410546338.
Full textFujita, H. "Summary of Video-symposium 2." Nihon Kikan Shokudoka Gakkai Kaiho 58, no. 2 (2007): 169–70. http://dx.doi.org/10.2468/jbes.58.169.
Full textZhu Li, G. M. Schuster, A. K. Katsaggelos, and B. Gandhi. "Rate-distortion optimal video summary generation." IEEE Transactions on Image Processing 14, no. 10 (October 2005): 1550–60. http://dx.doi.org/10.1109/tip.2005.854477.
Full textPriya, G. G. Lakshmi, and S. Domnic. "Medical Video Summarization using Central Tendency-Based Shot Boundary Detection." International Journal of Computer Vision and Image Processing 3, no. 1 (January 2013): 55–65. http://dx.doi.org/10.4018/ijcvip.2013010105.
Full textYoon, Ui-Nyoung, Myung-Duk Hong, and Geun-Sik Jo. "Interp-SUM: Unsupervised Video Summarization with Piecewise Linear Interpolation." Sensors 21, no. 13 (July 2, 2021): 4562. http://dx.doi.org/10.3390/s21134562.
Full textWang, Dayong, and Shixin Sun. "Summary of research on scalable video coding." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 2009, no. 8 (December 16, 2009): 78–84. http://dx.doi.org/10.3724/sp.j.1187.2009.08078.
Full textCi, Song, Dalei Wu, Yun Ye, Zhu Han, GUAN-MING Su, Haohong Wang, and Hui Tang. "Video summary delivery over cooperative wireless networks." IEEE Wireless Communications 19, no. 2 (April 2012): 80–87. http://dx.doi.org/10.1109/mwc.2012.6189417.
Full textLei, Shaoshuai, Gang Xie, and Gaowei Yan. "A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/695168.
Full textKrauss, John C., Vaibhav Sahai, Matthias Kirch, Diane M. Simeone, and Lawrence An. "Pilot Study of Personalized Video Visit Summaries for Patients With Cancer." JCO Clinical Cancer Informatics, no. 2 (December 2018): 1–8. http://dx.doi.org/10.1200/cci.17.00086.
Full textChen, Shih-Nung. "Storyboard-based accurate automatic summary video editing system." Multimedia Tools and Applications 76, no. 18 (November 26, 2016): 18409–23. http://dx.doi.org/10.1007/s11042-016-4160-1.
Full textDissertations / Theses on the topic "Video summary"
Chu, Xiaoge. "Retrospection and deliberation : the create [i.e. creative] summary of the high definition video works." Virtual Press, 2005. http://liblink.bsu.edu/uhtbin/catkey/1327290.
Full textDepartment of Art
Brodin, Karolina. "Consuming the commercial break : an ethnographic study of the potential audiences for television advertising." Doctoral thesis, Stockholm : Economic Research Institute, Stockholm School of Economics (EFI), 2007. http://www2.hhs.se/EFI/summary/721.htm.
Full textRouvier, Mickaël. "Structuration de contenus audio-visuel pour le résumé automatique." Thesis, Avignon, 2011. http://www.theses.fr/2011AVIG0192/document.
Full textThese last years, with the advent of sites such as Youtube, Dailymotion or Blip TV, the number of videos available on the Internet has increased considerably. The size and their lack of structure of these collections limit access to the contents. Sum- marization is one way to produce snippets that extract the essential content and present it as concisely as possible.In this work, we focus on extraction methods for video summary, based on au- dio analysis. We treat various scientific problems related to this objective : content extraction, document structuring, definition and estimation of objective function and algorithm extraction.On each of these aspects, we make concrete proposals that are evaluated.On content extraction, we present a fast spoken-term detection. The main no- velty of this approach is that it relies on the construction of a detector based on search terms. We show that this strategy of self-organization of the detector im- proves system robustness, which significantly exceeds the classical approach based on automatic speech recogntion.We then present an acoustic filtering method for automatic speech recognition based on Gaussian mixture models and factor analysis as it was used recently in speaker identification. The originality of our contribution is the use of decomposi- tion by factor analysis for estimating supervised filters in the cepstral domain.We then discuss the issues of structuring video collections. We show that the use of different levels of representation and different sources of information in or- der to characterize the editorial style of a video is principaly based on audio analy- sis, whereas most previous works suggested that the bulk of information on gender was contained in the image. Another contribution concerns the type of discourse identification ; we propose low-level models for detecting spontaneous speech that significantly improve the state of the art for this kind of approaches.The third focus of this work concerns the summary itself. As part of video summarization, we first try, to define what a synthetic view is. Is that what cha- racterizes the whole document, or what a user would remember (by example an emotional or funny moment) ? This issue is discussed and we make some concrete proposals for the definition of objective functions corresponding to three different criteria : salience, expressiveness and significance. We then propose an algorithm for finding the sum of the maximum interest that derives from the one introduced in previous works, based on integer linear programming
Bendraou, Youssef. "Détection des changements de plans et extraction d'images représentatives dans une séquence vidéo." Thesis, Littoral, 2017. http://www.theses.fr/2017DUNK0458/document.
Full textWith the recent advancement in multimedia technologies, in conjunction with the rapid increase of the volume of digital video data and the growth of internet ; it has becom mandatory to have the hability browse and search through information stored in large multimedia databases. For this purpose, content based video retrieval (CBVR) has become an active area of research durinf the last decade. The objective of this thesis is to present applications for temporal video segmentation and video retrieval based on different mathematical models. A shot is considered as the elementary unit of a video, and is defined as a continuous sequence of frames taken from a single camera, representing an action during time. The different types of transitions that may occur in a video sequence are categorized into : abrupt and gradual transition. In this work, through statistical analysis, we segment a video into its constituent units. This is achieved by identifying transitions between adjacent shots. The first proposed algorithm aims to detect abrupt shot transitions only by measuring the similarity between consecutive frames. Given the size of the vector containing distances, it can be modeled by a log normal distribution since all the values are positive. Gradual shot transition identification is a more difficult task when compared to cut detection. Generally, a gradual transition may share similar characteristics as a dynamic segment with camera or object motion. In this work, singular value decomposition (SVD) is performed to project features from the spatial domain to the singular space. Resulting features are reduced and more refined, which makes the remaining tasks easier. The proposed system, designed for detecting both abrupt and gradual transitions, has lead to reliable performances achieving high detection rates. In addition, the acceptable computational time allows to process in real time. Once a video is partitioned into its elementary units, high-level applications can be processed, such as the key-frame extraction. Selecting representative frames from each shot to form a storyboard is considered as a static and local video summarization. In our research, we opted for a global method based on local extraction. Using refined centrist features from the singular space, we select representative frames using modified k-means clustering based on important scenes. This leads to catch pertinent frames without redoudancy in the final storyboard
Li, Shuang Lim Alvin S. "Improving throughput of video streaming in wireless sensor networks." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SUMMER/Computer_Science_and_Software_Engineering/Thesis/Li_Shuang_55.pdf.
Full textWorley, Benjmain James. "Information: Moving forward with New Media through Experiments in Digital and Video Art." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/art_design_theses/39.
Full textTang, Hoang T. "Minsi Trails Council Boy Scouts Of America camping video and how can a summer camp experience contribute to a scout's emotional growth and self-identity /." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1992. http://www.kutztown.edu/library/services/remote_access.asp.
Full textMakrinos, George Adam. "Drawing Music, Playing Architecture." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/33890.
Full textMaster of Architecture
Chiang, Chih-Chuan, and 江志釧. "The Study of Video Segmentation and Summary in News Video." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/52502394436779655974.
Full text國立交通大學
資訊工程系
88
In order to accomplish the segmentation and video summary in our News Video Browser System(NVBS), in this paper, we propose a robust scene change detection algorithm and two different video summary method, static summary and dynamic summary. In detect scene change point,we compute histogram distance and pixel distance for each frame pair to select possible scene change point. After this, we use local maximum test to eliminate the false positive. For each shot, we find the caption picture, flashlight picture and close-up picture to be keyframes.In dynamic summary, we select the high motion shot, static shot, flashlight shot and close-up shot. After some adjustment, we carry out the dynamic summary.
Chou, Chih-Wei, and 周智偉. "Video summary based on rate-distortion criterion." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/3549ta.
Full text國立中山大學
資訊工程學系研究所
96
Due to advanced in computer technology,video data are becoming available in the daily life. The method of managing Multi-media video database is more and more important,and traditional database management for text documents is not suitable for video database; therefore, efficient video database must equip video summary. Video summarization contains a number of key-frame and the key-frame is a simple yet effective form of summarizing a video sequence and the video summarization help user browses rapidly and effectively find out video that the user wants to find. Video summarization except extraction of key-frame has another important key, the number of key-frame. When storage and network bandwidth are limited, the number of key-frame must conform to the limit condition and as far as possible find the representative key-frame. Video summarization is important topic for managing Multi-media video. The number of key-frame in video summarization is related to distortion between video summarization and original video sequence. The number of key-frame is more, the distortion between video summarization and original video sequence is smaller. This paper emphasizes key-frame extraction and the rate of key-frame. First the user inputs the number of key-frame and then extracts the key-frame that has smallest distortion between original video sequence in key-frame number limit situation. In order to understand the entire video structure,the Normalized the graph cuts(NCuts) group method is carried out to cluster similar video paragraph. The resulting clusters form a direction temporal graph and a shortest path algorithm is proposed to find main structure of video. The performance of the proposed method is demonstrated by experiments on a collection of videos from Open Vide Project. We provided a meaningful comparison between results of the proposed summarization with Open Vide storyboard and the PME based approach.
Books on the topic "Video summary"
Education, Alberta Alberta. Video distribution demonstration project: Executive summary, conclusions and recommendations. [Edmonton, Alta.]: Alberta Education, 1986.
Find full textWashington (State). Dept. of Labor and Industries. Committee for Video Display Terminals. Workplace guidelines for VDTs: A summary of recommendations. Olympia, WA: Dept. of Labor & Industries, Industrial Hygiene Section, 1990.
Find full textVideo(Northants)Limited, United. Cable Television Licence Application Public Summary: North East Northamptonshire and Market Harborough Area. Cheltenhamn: United Video(Northants)Ltd, 1990.
Find full textWashington (State). Dept. of Labor & Industries. Committee for Video Display Terminals. Workplace guidelines for VDTs: A summary of recommendations by the Committee for Video Display Terminals. [Olympia, WA]: Washington Dept. of Labor and Industries, 1990.
Find full textCaron, André H. Systemized summary of Canadian regulations concerning children and the audiovisual industry. Montréal: Centre de recherche en droit public, Université de Montréal, 1996.
Find full textKinney, Jeff. Gureggu no dame nikki: Āa dōshite kō naru no. Tōkyō: Popurasha, 2009.
Find full textKinney, Jeff. Xiao pi hai ri ji: Diary of a wimpy kid : "Tou gai gu yao huang ji" de xing cun zhe. 2nd ed. Guangzhou: Xin shi ji chu ban she, 2012.
Find full textKinney, Jeff. Xun ka ri ji: Diary of a wimpy kid : Shi kong de shu jia. [Taibei Shi]: Bo shi tu shu chu ban you xian gong si, 2011.
Find full textKinney, Jeff. Xiao pi hai ri ji: Cong tian er jiang de ju zhai = : Diary of a wimpy kid. Guangzhou: Xin shi ji chu ban she, 2011.
Find full textBook chapters on the topic "Video summary"
Verdult, Vincent. "Summary." In Optimal Audio and Video Reproduction at Home, 312–24. New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429443800-9.
Full textReimers, Ulrich. "Digital Television — a First Summary." In Digital Video Broadcasting (DVB), 1–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04562-6_1.
Full textLee, Suh-Yin, Shin-Tzer Lee, and Duan-Yu Chen. "Automatic Video Summary and Description." In Lecture Notes in Computer Science, 37–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-40053-2_4.
Full textKulshreshth, Arun K., and Joseph J. LaViola. "Summary and Conclusion." In Designing Immersive Video Games Using 3DUI Technologies, 111–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77953-9_8.
Full textParekh, Ranjan. "Function Summary." In Fundamentals of IMAGE, AUDIO, and VIDEO PROCESSING Using MATLAB®, 371–80. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003019718-5.
Full textGuo, Ju, and C. C. Jay Kuo. "Summary and Future Work." In Semantic Video Object Segmentation for Content-Based Multimedia Applications, 95–97. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1503-6_7.
Full textOuyang, Jian-quan, Li Jin-tao, and Zhang Yong-dong. "Ontology Based Sports Video Annotation and Summary." In Content Computing, 499–508. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30483-8_62.
Full textChen, Shih-Nung. "Storyboard-Based Automatic Summary Video Editing System." In Lecture Notes in Electrical Engineering, 733–45. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3187-8_69.
Full textBanwaskar, M. R., and A. M. Rajurkar. "Creating Video Summary Using Speeded Up Robust Features." In Applied Computer Vision and Image Processing, 308–17. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4029-5_31.
Full textJangra, Anubhav, Adam Jatowt, Mohammad Hasanuzzaman, and Sriparna Saha. "Text-Image-Video Summary Generation Using Joint Integer Linear Programming." In Lecture Notes in Computer Science, 190–98. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45442-5_24.
Full textConference papers on the topic "Video summary"
Whatley, Janice, and Amrey Ahmad. "Using Video to Record Summary Lectures to Aid Students’ Revision." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3180.
Full textMüller, Alexander, Mathias Lux, and Laszlo Böszörmenyi. "The video summary GWAP." In the 12th International Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2362456.2362476.
Full text"Program summary." In Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004. IEEE, 2004. http://dx.doi.org/10.1109/isimp.2004.1433979.
Full textLi, Baopu, Max Q. H. Meng, and Qian Zhao. "Wireless Capsule endoscopy video summary." In 2010 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2010. http://dx.doi.org/10.1109/robio.2010.5723369.
Full textFu, Zhenyong, Hongtao Lu, Nan Deng, and Nengbin Cai. "Four-level video summary coding." In 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5648288.
Full textUnknown. "CSCW '98 video program (summary)." In the 1998 ACM conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/289444.289521.
Full textZheng, Jiping, and Ganfeng Lu. "k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/108.
Full textDemir, Mahmut, and H. Isil Bozma. "Video Summarization via Segments Summary Graphs." In 2015 IEEE International Conference on Computer Vision Workshop (ICCVW). IEEE, 2015. http://dx.doi.org/10.1109/iccvw.2015.140.
Full textLin, Zhijie, Xiaohua Li, and Zhijun Sun. "The Summary of Video Denoising Method." In 2015 International Symposium on Computers and Informatics. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/isci-15.2015.247.
Full textSull, Sanghoon, Jung-Rim Kim, Yunam Kim, Hyun S. Chang, and Sang U. Lee. "Scalable hierarchical video summary and search." In Photonics West 2001 - Electronic Imaging, edited by Minerva M. Yeung, Chung-Sheng Li, and Rainer W. Lienhart. SPIE, 2001. http://dx.doi.org/10.1117/12.410967.
Full textReports on the topic "Video summary"
Monroe, M. C., and C. F. Young. Summary evaluation of the video, {open_quotes}Transportation of radioactive and hazardous materials: Safety for all concerned{close_quotes}. Office of Scientific and Technical Information (OSTI), July 1993. http://dx.doi.org/10.2172/10181143.
Full textMorris, Julia, Julia Bobiak, Fatima Asad, and Fozia Nur. Report: Accessibility of Health Data in Rural Canada. Spatial Determinants Lab at Carleton University, Department of Health Sciences, February 2021. http://dx.doi.org/10.22215/sdhlab/2020.4.
Full textJung, Jacob, Stephanie Hertz, and Richard Fischer. Summary of Collaborative Wildlife Protection and Recovery Initiative (CWPRI) conservation workshop : Least Bell’s Vireo. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42102.
Full textBates, C. Richards, Melanie Chocholek, Clive Fox, John Howe, and Neil Jones. Scottish Inshore Fisheries Integrated Data System (SIFIDS): Work package (3) final report development of a novel, automated mechanism for the collection of scallop stock data. Edited by Mark James and Hannah Ladd-Jones. Marine Alliance for Science and Technology for Scotland (MASTS), 2019. http://dx.doi.org/10.15664/10023.23449.
Full text