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Journal articles on the topic 'Video synopsis'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Li, Teng, Tao Mei, In-So Kweon, and Xian-Sheng Hua. "Multi-video synopsis for video representation." Signal Processing 89, no. 12 (2009): 2354–66. http://dx.doi.org/10.1016/j.sigpro.2009.03.023.

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2

Zhu, Jianqing, Shengcai Liao, and Stan Z. Li. "Multicamera Joint Video Synopsis." IEEE Transactions on Circuits and Systems for Video Technology 26, no. 6 (2016): 1058–69. http://dx.doi.org/10.1109/tcsvt.2015.2430692.

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3

Baskurt, Kemal Batuhan, and Refik Samet. "Video synopsis: A survey." Computer Vision and Image Understanding 181 (April 2019): 26–38. http://dx.doi.org/10.1016/j.cviu.2019.02.004.

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4

Xie, Yujia, Meizhen Wang, Xuejun Liu, and Yiguang Wu. "Surveillance Video Synopsis in GIS." ISPRS International Journal of Geo-Information 6, no. 11 (2017): 333. http://dx.doi.org/10.3390/ijgi6110333.

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5

Wang, Zong Yue. "Video Synopsis Generation Using GPGPU." Applied Mechanics and Materials 433-435 (October 2013): 297–300. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.297.

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Video summaries provide a compact video representation preserving the essential activities of the original video, but the summaries may be confusing when mixing different activities together. Summaries Clustered methodology, showing similar activities simultaneously, enables to view much easier and more efficiently. However, it is very time consuming in generating summaries, especially in calculating motion distance and collision cost. To improve the efficiency of generating summaries, a parallel video synopsis generation algorithm is proposed based on GPGPU. The experiment result shows genera

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6

Li, Xuelong, Zhigang Wang, and Xiaoqiang Lu. "Video Synopsis in Complex Situations." IEEE Transactions on Image Processing 27, no. 8 (2018): 3798–812. http://dx.doi.org/10.1109/tip.2018.2823420.

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7

Pritch, Y., A. Rav-Acha, and S. Peleg. "Nonchronological Video Synopsis and Indexing." IEEE Transactions on Pattern Analysis and Machine Intelligence 30, no. 11 (2008): 1971–84. http://dx.doi.org/10.1109/tpami.2008.29.

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8

Guo, Yi, Su-Rong Qi-Mu, Wei Jin, and Xing Wei. "Object-based video synopsis and multi-video body retrieval." Signal Processing Research 5 (2016): 7. http://dx.doi.org/10.14355/spr.2016.05.002.

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9

He, Yi, Changxin Gao, Nong Sang, Zhiguo Qu, and Jun Han. "Graph coloring based surveillance video synopsis." Neurocomputing 225 (February 2017): 64–79. http://dx.doi.org/10.1016/j.neucom.2016.11.011.

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10

Fu, Wei, Jinqiao Wang, Liangke Gui, Hanqing Lu, and Songde Ma. "Online video synopsis of structured motion." Neurocomputing 135 (July 2014): 155–62. http://dx.doi.org/10.1016/j.neucom.2013.12.041.

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11

Chen, Zhe, Guofang Lv, Li Lv, Tanghuai Fan, and Huibin Wang. "Spectrum Analysis-Based Traffic Video Synopsis." Journal of Signal Processing Systems 90, no. 8-9 (2018): 1257–67. http://dx.doi.org/10.1007/s11265-018-1345-z.

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12

Li, Xuelong, Zhigang Wang, and Xiaoqiang Lu. "Surveillance Video Synopsis via Scaling Down Objects." IEEE Transactions on Image Processing 25, no. 2 (2016): 740–55. http://dx.doi.org/10.1109/tip.2015.2507942.

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13

Nie, Yongwei, Chunxia Xiao, Hanqiu Sun, and Ping Li. "Compact Video Synopsis via Global Spatiotemporal Optimization." IEEE Transactions on Visualization and Computer Graphics 19, no. 10 (2013): 1664–76. http://dx.doi.org/10.1109/tvcg.2012.176.

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14

HE, Yi, Jun HAN, Nong SANG, Zhiguo QU, and Changxin GAO. "Chronological Video Synopsis via Events Rearrangement Optimization." Chinese Journal of Electronics 27, no. 2 (2018): 399–404. http://dx.doi.org/10.1049/cje.2016.11.002.

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15

Mahapatra, Ansuman, Pankaj K. Sa, Banshidhar Majhi, and Sudarshan Padhy. "MVS: A multi-view video synopsis framework." Signal Processing: Image Communication 42 (March 2016): 31–44. http://dx.doi.org/10.1016/j.image.2016.01.002.

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16

Cao, Jian Rong, Yang Xu, and Cai Yun Liu. "Algorithm of Surveillance Video Synopsis Based on Objects." Applied Mechanics and Materials 321-324 (June 2013): 1041–45. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1041.

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After background modeling and segmenting of moving object for surveillance video, this paper firstly presented a noninteractive matting algorithm of video moving object based on GrabCut. These matted moving objects then were placed in a background image on the condition of nonoverlapping arrangement, so a frame could be obtained with several moving objects placed in a background image. Finally, a series of these frame images could be achieved in timeline and a single camera surveillance video synopsis could be formed. The experimental results show that this video synopsis has the features of c

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17

Wang, Shi-zheng, Zhong-yuan Wang, and Rui-min Hu. "Surveillance video synopsis in the compressed domain for fast video browsing." Journal of Visual Communication and Image Representation 24, no. 8 (2013): 1431–42. http://dx.doi.org/10.1016/j.jvcir.2013.10.001.

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18

Vural, U., and Y. S. Akgul. "Eye-gaze based real-time surveillance video synopsis." Pattern Recognition Letters 30, no. 12 (2009): 1151–59. http://dx.doi.org/10.1016/j.patrec.2009.03.002.

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19

Li, Ke, Bo Yan, Weiyi Wang, and Hamid Gharavi. "An Effective Video Synopsis Approach with Seam Carving." IEEE Signal Processing Letters 23, no. 1 (2016): 11–14. http://dx.doi.org/10.1109/lsp.2015.2496558.

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20

Ra, Moonsoo, and Whoi-Yul Kim. "Parallelized Tube Rearrangement Algorithm for Online Video Synopsis." IEEE Signal Processing Letters 25, no. 8 (2018): 1186–90. http://dx.doi.org/10.1109/lsp.2018.2848842.

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21

Rui Zhong, Ruimin Hu, Zhongyuan Wang, and Shizheng Wang. "Fast Synopsis for Moving Objects Using Compressed Video." IEEE Signal Processing Letters 21, no. 7 (2014): 834–38. http://dx.doi.org/10.1109/lsp.2014.2317754.

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22

Hsia, Chih-Hsien, Jen-Shiun Chiang, and Chi-Fang Hsieh. "Low-complexity range tree for video synopsis system." Multimedia Tools and Applications 75, no. 16 (2015): 9885–902. http://dx.doi.org/10.1007/s11042-015-2714-2.

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23

Azim, M. Aulia, and Ardoni Ardoni. "Pembuatan video Promosi di Perpustakaan SMP N 18 Padang." Ilmu Informasi Perpustakaan dan Kearsipan 8, no. 1 (2019): 236. http://dx.doi.org/10.24036/107344-0934.

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AbstractThe writing of this paper aims to discuss the stages of making a promotional video in the Library at SMPN 18 Padang. This study aims to describe the stages of making videos as a means of promoting the library SMPN 18 Padang. This type of research is qualitative with descriptive methods. Data was collected through observation and interviews with the Head of the Library and Librarian SMPN 18 Padang. And with the help of reading material related to video and library promotion. Based on analyzing the data it can be concluded that the steps in making a library promotion video are as follows

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24

He, Yi, Zhiguo Qu, Changxin Gao, and Nong Sang. "Fast Online Video Synopsis Based on Potential Collision Graph." IEEE Signal Processing Letters 24, no. 1 (2017): 22–26. http://dx.doi.org/10.1109/lsp.2016.2633374.

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25

Ahmed, Sekh Arif, Debi Prosad Dogra, Samarjit Kar, et al. "Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications." IEEE Transactions on Intelligent Transportation Systems 21, no. 8 (2020): 3457–68. http://dx.doi.org/10.1109/tits.2019.2929618.

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26

K, Namitha, and Athi Narayanan. "Preserving interactions among moving objects in surveillance video synopsis." Multimedia Tools and Applications 79, no. 43-44 (2020): 32331–60. http://dx.doi.org/10.1007/s11042-020-09493-2.

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27

Xie, Yujia, Meizhen Wang, Xuejun Liu, Bo Mao, and Feiyue Wang. "Integration of Multi-Camera Video Moving Objects and GIS." ISPRS International Journal of Geo-Information 8, no. 12 (2019): 561. http://dx.doi.org/10.3390/ijgi8120561.

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This work discusses the integration of multi-camera video moving objects (MCVO) and GIS. This integration was motivated by the characteristics of multi-camera videos distributed in the urban environment, namely, large data volume, sparse distribution and complex spatial–temporal correlation of MCVO, thereby resulting in low efficiency of manual browsing and retrieval of videos. To address the aforementioned drawbacks, on the basis of multi-camera video moving object extraction, this paper first analyzed the characteristics of different video-GIS Information fusion methods and investigated the

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28

Cowen, Paul S. "Visual Memory, Verbal Schemas, and Film Comprehension." Empirical Studies of the Arts 10, no. 1 (1992): 33–55. http://dx.doi.org/10.2190/cqph-7d5l-3475-0yvw.

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An ambiguous silent film was viewed either by itself or with an improbable but plausible verbal synopsis presented either before or after the film. In general, the verbal synopsis significantly influenced inferences made one hour later, but there was an interaction between visualization ability and the order in which the synopsis and film were presented. Visualization ability significantly decreased biased inferences when the film was seen first, but significantly increased this bias when the synopsis preceded the film. Greater synopsis influence was also associated with greater comprehensibil

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29

Huang, Chun-Rong, Pau-Choo Julia Chung, Di-Kai Yang, Hsing-Cheng Chen, and Guan-Jie Huang. "Maximum a Posteriori Probability Estimation for Online Surveillance Video Synopsis." IEEE Transactions on Circuits and Systems for Video Technology 24, no. 8 (2014): 1417–29. http://dx.doi.org/10.1109/tcsvt.2014.2308603.

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30

Nie, Yongwei, Zhenkai Li, Zhensong Zhang, Qing Zhang, Tiezheng Ma, and Hanqiu Sun. "Collision-Free Video Synopsis Incorporating Object Speed and Size Changes." IEEE Transactions on Image Processing 29 (2020): 1465–78. http://dx.doi.org/10.1109/tip.2019.2942543.

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31

Ghatak, Subhankar, Suvendu Rup, Banshidhar Majhi, and M. N. S. Swamy. "An improved surveillance video synopsis framework: a HSATLBO optimization approach." Multimedia Tools and Applications 79, no. 7-8 (2019): 4429–61. http://dx.doi.org/10.1007/s11042-019-7389-7.

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32

Lin, Longxin, Weiwei Lin, Weijun Xiao, and Sibin Huang. "An optimized video synopsis algorithm and its distributed processing model." Soft Computing 21, no. 4 (2015): 935–47. http://dx.doi.org/10.1007/s00500-015-1823-1.

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33

Zhu, Xiaobin, Jing Liu, Jinqiao Wang, and Hanqing Lu. "Key observation selection-based effective video synopsis for camera network." Machine Vision and Applications 25, no. 1 (2013): 145–57. http://dx.doi.org/10.1007/s00138-013-0519-8.

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34

Fitri, Dinni, and Ardoni Ardoni. "Pembuatan Video Promosi Perpustakaan di Perpustakaan Universitas Islam Negeri Imam Bonjol Padang." Ilmu Informasi Perpustakaan dan Kearsipan 8, no. 1 (2019): 165. http://dx.doi.org/10.24036/107340-0934.

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AbstractIn this paper, it is discussed about Making Library Promotion Videos in Imam Bonjol State Islamic University Library Padang. The purpose of this paper is to describe the stages of making library promotional videos at the Imam Bonjol State Islamic University Library in Padang. This type of research is qualitative with descriptive method. Data collected through observation and interviews with the Head of Imam Bonjol State Islamic University Library Padang. Based on analyzing the data it can be concluded that the steps in making a library promotion video are follows: First, preproduction

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35

Lv, Chao. "Surveillance Video Synopsis Based on Moving Object Matting Using Noninteractive GrabCut." Open Automation and Control Systems Journal 5, no. 1 (2013): 113–18. http://dx.doi.org/10.2174/1874444301305010113.

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36

Tian, Yumin, Haihong Zheng, Qichao Chen, Dan Wang, and Risan Lin. "Surveillance video synopsis generation method via keeping important relationship among objects." IET Computer Vision 10, no. 8 (2016): 868–72. http://dx.doi.org/10.1049/iet-cvi.2016.0128.

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37

Ghatak, Subhankar, Suvendu Rup, Banshidhar Majhi, and M. N. S. Swamy. "HSAJAYA: An Improved Optimization Scheme for Consumer Surveillance Video Synopsis Generation." IEEE Transactions on Consumer Electronics 66, no. 2 (2020): 144–52. http://dx.doi.org/10.1109/tce.2020.2981829.

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38

Thirumalaiah, G., and S. Immanuel Alex Pandian. "An Optimized Novel Technique for Video Synopsis Using Bayesian Object Tracking Algorithm." Journal of Computational and Theoretical Nanoscience 17, no. 11 (2020): 5136–40. http://dx.doi.org/10.1166/jctn.2020.9355.

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This paper presents another analytical video description of the methodology, which is far superior in pressure and depth to previous methodologies. In preparation, the video of the reconnaissance was usually packed by moving the pushing objects alongside the time hub, which undoubtedly resulted in a real crash and ordered issue antiques between the items being pushed. The main idea in this paper is that these antiques can be reduced by using the Bayesian calculation for fragmentation, and the last approach for foundation extraction is used following the products. We offer the best way to integ

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39

Ruan, Tao, Shikui Wei, Jia Li, and Yao Zhao. "Rearranging Online Tubes for Streaming Video Synopsis: A Dynamic Graph Coloring Approach." IEEE Transactions on Image Processing 28, no. 8 (2019): 3873–84. http://dx.doi.org/10.1109/tip.2019.2903322.

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40

Zhang, Zhensong, Yongwei Nie, Hanqiu Sun, et al. "Multi-View Video Synopsis via Simultaneous Object-Shifting and View-Switching Optimization." IEEE Transactions on Image Processing 29 (2020): 971–85. http://dx.doi.org/10.1109/tip.2019.2938086.

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41

Syafrita, Oxza, and Ardoni Ardoni. "Proses Pembuatan Direktori Berbentuk Video Wisata Alam Sumatera Barat." Ilmu Informasi Perpustakaan dan Kearsipan 8, no. 1 (2019): 326. http://dx.doi.org/10.24036/107321-0934.

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Abstract This paper discusses video directory of West Sumatra in the form of video. This study aims to describe what nature tourism is in West Sumatra. Data was collected through an interview with one of the employees at the West Sumatra Province Tourism Office and direct observation to the natural tourist sites of West Sumatra. Analyzing data is done descriptively. Based on analyzing the data, the following conclusions are made: First, the initial steps in the process of making a directory in the form of a natural tourism video in West Sumatra through two stages, namely (1) needs analysis, (2

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42

Aini, Nurul. "CONCEPT DESIGNING OF VIDEO PROFILE FASHION PROGRAM UNIVERSITAS NEGERI MALANG." Educational Administration Research and Review 4, no. 1 (2020): 29–39. http://dx.doi.org/10.17509/earr.v4i1.26192.

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This study aims to describe the concept of designing a profile video for the Fashion Program through the initial stages of the creation method, namely the pre-production stage or about how it is planned. Video profiles are very effective media that are used to promote a particular area, product, and promote a particular company. In this case the profile video that will be made is the profile video of the Fashion Program at Universitas Negeri Malang. This research was conducted because the Fashion Program did not yet have a profile or company profile video that was indispensable for Program to

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43

Vieira, Lindsay C. "Technology for Africa." Journal of Educational Technology Systems 17, no. 2 (1988): 103–5. http://dx.doi.org/10.2190/6dqf-07b4-hgf2-3cjn.

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This article provides a synopsis of a two-year experiment in the use of interactive video for the upgrading of black teachers of secondary school mathematics. The courseware was written locally and the experiment has proved highly successful, not only for the quantified educational improvement, but for the solution to so many nonquantifiables that the use of this technology promises.

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44

Xu, Ling, Hailin Liu, Xinhua Yan, Shengping Liao, and Xiaohong Zhang. "Optimization method for trajectory combination in surveillance video synopsis based on genetic algorithm." Journal of Ambient Intelligence and Humanized Computing 6, no. 5 (2015): 623–33. http://dx.doi.org/10.1007/s12652-015-0278-7.

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45

Ghatak, Subhankar, Suvendu Rup, Himansu Didwania, and M. N. S. Swamy. "GAN based efficient foreground extraction and HGWOSA based optimization for video synopsis generation." Digital Signal Processing 111 (April 2021): 102988. http://dx.doi.org/10.1016/j.dsp.2021.102988.

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46

Reno, Terrence, Arta Uly Siahaan, and Alfian Alfian. "IMPLEMENTASI MOTION GRAFIS VIDEO ANIMASI 2D UNTUK PENGENALAN NIRMANA." JOURNAL OF DIGITAL EDUCATION, COMMUNICATION, AND ARTS (DECA) 1, no. 2 (2018): 113–22. http://dx.doi.org/10.30871/deca.v1i2.859.

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One of the purpose information technology nowadays is to deliver the information in an interesting way. For example, the using of animation tend to be more interesting to present the information. This project created a 2D animation for introducing Nirmana. Some steps were conducted to finish this product starting with creating the storyboard namely finding the idea and arranging the synopsis, continuing with creating the character sketch and storyboard. After completing this step, the next step is making animation by using Adobe After Effect Software. It is started with editing and composing b

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47

Behne, Klaus-Ernst, and Clemens Wöllner. "Seeing or hearing the pianists? A synopsis of an early audiovisual perception experiment and a replication." Musicae Scientiae 15, no. 3 (2011): 324–42. http://dx.doi.org/10.1177/1029864911410955.

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The visual impact of musicians’ body movements has increasingly attracted research interest over the past twenty years. This article gives an overview of the main findings of this research and introduces and replicates one of the first experiments on visual information in music performance evaluations. In Behne’s study (originally published in German in 1990), a pianist was video-recorded performing compositions by Brahms and Chopin. Using an audiovisual manipulation paradigm, further pianists acted as doubles and pretended to perform the music to the soundtrack of the first pianist. Different

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48

King, Skyler, Ismail Karabas, and Anthony Allred. "Nintendo’s next move." CASE Journal 16, no. 3 (2020): 279–88. http://dx.doi.org/10.1108/tcj-09-2019-0082.

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Case overview/synopsis In the 1980s and 1990s, Nintendo was dominating the video game industry with a market share of 90 per cent. Since that time, market share has dropped substantially with new competitors, new technology and changing consumer preferences. This case examines the history of Nintendo including its loss of market share in a rapidly changing industry. Complexity academic level This case is suitable for undergraduate courses in strategic management where an instructor’s focus is on strategic decision-making.

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49

Warren, J. Donald, Kevin C. Moffitt, and Paul Byrnes. "How Big Data Will Change Accounting." Accounting Horizons 29, no. 2 (2015): 397–407. http://dx.doi.org/10.2308/acch-51069.

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SYNOPSIS Big Data will have increasingly important implications for accounting, even as new types of data become accessible. The video, audio, and textual information made available via Big Data can provide for improved managerial accounting, financial accounting, and financial reporting practices. In managerial accounting, Big Data will contribute to the development and evolution of effective management control systems and budgeting processes. In financial accounting, Big Data will improve the quality and relevance of accounting information, thereby enhancing transparency and stakeholder deci

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50

Dubois, Louis-Etienne. "Killing ‘em softly: terminating projects in a video game studio." CASE Journal 14, no. 4 (2018): 496–512. http://dx.doi.org/10.1108/tcj-10-2017-0095.

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Synopsis Killing ‘em softly: terminating projects within a video game studio is a case study on human resource management (HRM) and project management in a creative setting. This disguised case is based on a real situation that was documented through individual and group interviews at a major video game studio. Several HRM and project management concepts can be discussed through this case including employee retention, planning and staffing and intracompany communication. It seeks to help students develop a multi-level, interdisciplinary and critical analysis of a common HRM situation in projec

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