Relevant bibliographies by topics / Video methods

Contents

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

Academic literature on the topic 'Video methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Video methods"

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Wadia, Reena. "Live-video and video demonstration methods." British Dental Journal 228, no. 4 (2020): 253. http://dx.doi.org/10.1038/s41415-020-1309-0.

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Gu, Chong, and Zhan Jun Si. "Applied Research of Assessment Methods on Video Quality." Applied Mechanics and Materials 262 (December 2012): 157–62. http://dx.doi.org/10.4028/www.scientific.net/amm.262.157.

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With the rapid development of modern video technology, the range of video applications is increasing, such as online video conferencing, online classroom, online medical, etc. However, due to the quantity of video data is large, video has to be compressed and encoded appropriately, but the encoding process may cause some distortions on video quality. Therefore, how to evaluate the video quality efficiently and accurately is essential in the fields of video processing, video quality monitoring and multimedia video applications. In this article, subjective, and comprehensive evaluation method of
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Palau, Roberta De Carvalho Nobre, Bianca Santos da Cunha Silveira, Robson André Domanski, et al. "Modern Video Coding: Methods, Challenges and Systems." Journal of Integrated Circuits and Systems 16, no. 2 (2021): 1–12. http://dx.doi.org/10.29292/jics.v16i2.503.

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With the increasing demand for digital video applications in our daily lives, video coding and decoding become critical tasks that must be supported by several types of devices and systems. This paper presents a discussion of the main challenges to design dedicated hardware architectures based on modern hybrid video coding formats, such as the High Efficiency Video Coding (HEVC), the AOMedia Video 1 (AV1) and the Versatile Video Coding (VVC). The paper discusses eachstep of the hybrid video coding process, highlighting the main challenges for each codec and discussing the main hardware solutio
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Zhang, Decheng, and Jinxin Chen. "Visual Thinking Methods and Training in Video Production." International Journal for Innovation Education and Research 7, no. 12 (2019): 499–507. http://dx.doi.org/10.31686/ijier.vol7.iss12.2099.

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"A picture is worth a thousand words". Internet plus has brought people into the era of picture reading. Pictures and videos are everywhere. And dynamic video has the characteristics of sound, sound and documentary. It has become a popular media form for the public. Therefore, mobile phone video shooting and production are convenient, and the popularization of video production and dissemination has become inevitable. However, the creation of artistic and innovative video works requires producers to master certain visual thinking methods in addition to film montage theories and techniques. The
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Patel, Rahul S., Gajanan P. Khapre, and R. M. Mulajkr. "Video Retrieval Systems Methods, Techniques, Trends and Challenges." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (2017): 72–81. http://dx.doi.org/10.31142/ijtsrd5862.

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V., Puyda, and Stoian A. "ON METHODS OF OBJECT DETECTION IN VIDEO STREAMS." Computer systems and network 2, no. 1 (2017): 80–87. http://dx.doi.org/10.23939/csn2020.01.080.

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Detecting objects in a video stream is a typical problem in modern computer vision systems that are used in multiple areas. Object detection can be done on both static images and on frames of a video stream. Essentially, object detection means finding color and intensity non-uniformities which can be treated as physical objects. Beside that, the operations of finding coordinates, size and other characteristics of these non-uniformities that can be used to solve other computer vision related problems like object identification can be executed. In this paper, we study three algorithms which can
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Choe, Jaeryun, Haechul Choi, Heeji Han, and Daehyeok Gwon. "Novel video coding methods for versatile video coding." International Journal of Computational Vision and Robotics 11, no. 5 (2021): 526. http://dx.doi.org/10.1504/ijcvr.2021.10040489.

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Han, Heeji, Daehyeok Gwon, Jaeryun Choe, and Haechul Choi. "Novel video coding methods for versatile video coding." International Journal of Computational Vision and Robotics 11, no. 5 (2021): 526. http://dx.doi.org/10.1504/ijcvr.2021.117582.

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Crescentia.A, Anto, and Sujatha G. "An Overview of Digital Video Tampering Detection Using Passive Methods and D-Hash Algorithm." International Journal of Engineering & Technology 7, no. 4.6 (2018): 373. http://dx.doi.org/10.14419/ijet.v7i4.6.28444.

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Video tampering and integrity detection can be defined as methods of alteration of the contents of the video which will enable it to hide objects, an occasion or adjust the importance passed on by the collection of images in the video. Modification of video contents is growing rapidly due to the expansion of the video procurement gadgets and great video altering programming devices. Subsequently verification of video files is transforming into something very vital. Video integrity verification aims to search out the hints of altering and subsequently asses the realness and uprightness of the v
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Majumdar, Dr Jharna, and Spoorthy B. "Comparisons of Video Summarization Methods." IOSR Journal of Computer Engineering 16, no. 5 (2014): 52–56. http://dx.doi.org/10.9790/0661-16525256.

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Dissertations / Theses on the topic "Video methods"

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Whiteman, Don, and Greg Glen. "Compression Methods for Instrumentation Video." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/611516.

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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada<br>Video compression is typically required to solve the bandwidth problems related to the transmission of instrumentation video. The use of color systems typically results in bandwidth requirements beyond the capabilities of current receiving and recording equipment. The HORACE specification, IRIG-210, was introduced as an attempt to provide standardization between government test ranges. The specification provides for video compression in order to alleviate the bandwidth problem
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Jung, Agata. "Comparison of Video Quality Assessment Methods." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15062.

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Context: The newest standard in video coding High Efficiency Video Coding (HEVC) should have an appropriate coder to fully use its potential. There are a lot of video quality assessment methods. These methods are necessary to establish the quality of the video. Objectives: This thesis is a comparison of video quality assessment methods. Objective is to find out which objective method is the most similar to the subjective method. Videos used in tests are encoded in the H.265/HEVC standard. Methods: For testing MSE, PSNR, SSIM methods there is special software created in MATLAB. For VQM method d
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Toivonen, T. (Tuukka). "Efficient methods for video coding and processing." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514286957.

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Abstract This thesis presents several novel improvements to video coding algorithms, including block-based motion estimation, quantization selection, and video filtering. Most of the presented improvements are fully compatible with the standards in general use, including MPEG-1, MPEG-2, MPEG-4, H.261, H.263, and H.264. For quantization selection, new methods are developed based on the rate-distortion theory. The first method obtains locally optimal frame-level quantization parameter considering frame-wise dependencies. The method is applicable to generic optimization problems, including also
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Begaint, Jean. "Towards novel inter-prediction methods for image and video compression." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S038/document.

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En raison de la grande disponibilité des dispositifs de capture vidéo et des nouvelles pratiques liées aux réseaux sociaux, ainsi qu’à l’émergence des services en ligne, les images et les vidéos constituent aujourd’hui une partie importante de données transmises sur internet. Les applications de streaming vidéo représentent ainsi plus de 70% de la bande passante totale de l’internet. Des milliards d’images sont déjà stockées dans le cloud et des millions y sont téléchargés chaque jour. Les besoins toujours croissants en streaming et stockage nécessitent donc une amélioration constante des outi
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Grundmann, Matthias. "Computational video: post-processing methods for stabilization, retargeting and segmentation." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47596.

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In this thesis, we address a variety of challenges for analysis and enhancement of Computational Video. We present novel post-processing methods to bridge the difference between professional and casually shot videos mostly seen on online sites. Our research presents solutions to three well-defined problems: (1) Video stabilization and rolling shutter removal in casually-shot, uncalibrated videos; (2) Content-aware video retargeting; and (3) spatio-temporal video segmentation to enable efficient video annotation. We showcase several real-world applications building on these techniques. We star
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Coria, Mendoza Lino Evgueni. "Low-complexity methods for image and video watermarking." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/571.

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For digital media, the risk of piracy is aggravated by the ease to copy and distribute the content. Watermarking has become the technology of choice for discouraging people from creating illegal copies of digital content. Watermarking is the practice of imperceptibly altering the media content by embedding a message, which can be used to identify the owner of that content. A watermark message can also be a set of instructions for the display equipment, providing information about the content’s usage restrictions. Several applications are considered and three watermarking solutions are provided
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Maucho, Geoffrey Sunday. "Weighted distortion methods for error resilient video coding." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110392.

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Wireless and Internet video applications are hampered by bit errors and packet errors, respectively. In addition, packet losses in best effort Internet applications limit video communication applications. Because video compression uses temporal prediction, compressed video is especially susceptible to the problem of transmission errors in one frame propagating into subsequent frames. It is therefore necessary to develop methods to improve the performance of compressed video in the face of channel impairments. Recent work in this area has focused on estimating the end-to-end distortion, which i
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Naghdinezhad, Amir. "Error resilient methods in scalable video coding (SVC)." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121379.

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With the rapid development of multimedia technology, video transmission over unreliable channels like Internet and wireless networks, is widely used. Channel errors can result in a mismatch between the encoder and the decoder, and because of the predictive structures used in video coding, the errors will propagate both temporally and spatially. Consequently, the quality of the received video at the decoder may degrade significantly. In order to improve the quality of the received video, several error resilient methods have been proposed. Furthermore, in addition to compression efficiency and e
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Isgro, Francesco. "Geometric methods for video sequence analysis and applications." Thesis, Heriot-Watt University, 2001. http://hdl.handle.net/10399/495.

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Kies, Jonathan K. "Empirical Methods for Evaluating Video-Mediated Collaborative Work." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/30537.

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Advancements in computer technology are making video conferencing a viable communication medium for desktop computers. These same advancements are changing the structure and means by which information workers conduct business. From a human factors perspective, however, the study of new communication technologies and their relationships with end users presents a challenging research domain. This study employed two diverse research approaches to the problem of reduced video frame rate in desktop video conferencing. In the first study, a psychophysical method was used to evaluate video image qual
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Books on the topic "Video methods"

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Comaniciu, Dorin, Rudolf Mester, Kenichi Kanatani, and David Suter, eds. Statistical Methods in Video Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b104157.

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Video interaction analysis: Methods and methodology. Peter Lang, 2009.

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Akramullah, Shahriar. Digital Video Concepts, Methods, and Metrics. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6713-3.

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Kyte, Thomas, and Darl Kuhn. Digital Video Concepts, Methods, and Metrics. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0760-4.

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Larsen-Freeman, Diane. Language teaching methods: Teacher's handbook for the video series. Office of English Language Programs, 1990.

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Statistical Methods in Video Processing Workshop (2002 Copenhagen, Denmark). Proceedings of the Statistical Methods in Video Processing Workshop. Monash University - Dept. Electrical and Computer Systems Engineering, 2002.

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Aesthetic plastic surgery video atlas. Elsevier Saunders, 2012.

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1947-, Trollip Stanley R., and Alessi Stephen M. 1951-, eds. Multimedia for learning: Methods and development. 3rd ed. Allyn and Bacon, 2001.

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Stern, John M., and Joseph I. Sirven. Atlas of video-EEG monitoring. McGraw-Hill, 2011.

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Frantzides, Constantine T., and Mark A. Carlson. Video atlas of advanced minimally invasive surgery. Saunders/Elsevier, 2013.

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Book chapters on the topic "Video methods"

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Lucas, Laurent, Céline Loscos, and Yannick Remion. "Coding Methods for Depth Videos." In 3D Video. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118761915.ch12.

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Töppe, Eno, Martin R. Oswald, Daniel Cremers, and Carsten Rother. "Silhouette-Based Variational Methods for Single View Reconstruction." In Video Processing and Computational Video. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24870-2_5.

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Dawson, Catherine. "Video analysis." In A–Z of Digital Research Methods. Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-56.

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Salomon, David. "Video Compression." In A Guide to Data Compression Methods. Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21708-6_6.

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Lenette, Caroline. "Participatory Video." In Arts-Based Methods in Refugee Research. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8008-2_8.

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Akramullah, Shahriar. "Video Coding Standards." In Digital Video Concepts, Methods, and Metrics. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6713-3_3.

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Akramullah, Shahriar. "Video Quality Metrics." In Digital Video Concepts, Methods, and Metrics. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6713-3_4.

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Akramullah, Shahriar. "Video Coding Performance." In Digital Video Concepts, Methods, and Metrics. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6713-3_5.

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Dandashi, Amal, and Jihad Mohamad Alja’am. "Video Classification Methods: Multimodal Techniques." In Recent Trends in Computer Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89914-5_3.

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Ratcliff, Donald. "Video methods in qualitative research." In Qualitative research in psychology: Expanding perspectives in methodology and design. American Psychological Association, 2003. http://dx.doi.org/10.1037/10595-007.

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Conference papers on the topic "Video methods"

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Yu, Feiwu, Xinxiao Wu, Yuchao Sun, and Lixin Duan. "Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/154.

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Existing deep learning methods of video recognition usually require a large number of labeled videos for training. But for a new task, videos are often unlabeled and it is also time-consuming and labor-intensive to annotate them. Instead of human annotation, we try to make use of existing fully labeled images to help recognize those videos. However, due to the problem of domain shifts and heterogeneous feature representations, the performance of classifiers trained on images may be dramatically degraded for video recognition tasks. In this paper, we propose a novel method, called Hierarchical
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Cika, Petr, Dominik Kovac, and Jan Bilek. "Objective video quality assessment methods: Video encoders comparison." In 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2015. http://dx.doi.org/10.1109/icumt.2015.7382453.

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Zheng, 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}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/108.

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With the explosive growth of video data, video summarization which converts long-time videos to key frame sequences has become an important task in information retrieval and machine learning. Determinantal point processes (DPPs) which are elegant probabilistic models have been successfully applied to video summarization. However, existing DPP-based video summarization methods suffer from poor efficiency of outputting a specified size summary or neglecting inherent sequential nature of videos. In this paper, we propose a new model in the DPP lineage named k-SDPP in vein of sequential determinan
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Ardebilian Fard, Mohsen, Xiaowei Tu, and Liming Chen. "Improvement of shot detection methods based on dynamic threshold selection." In Voice, Video, and Data Communications, edited by C. C. Jay Kuo, Shih-Fu Chang, and Venkat N. Gudivada. SPIE, 1997. http://dx.doi.org/10.1117/12.290342.

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Barbieri, Mauro, Lalitha Agnihotri, and Nevenka Dimitrova. "Video summarization: methods and landscape." In ITCom 2003, edited by John R. Smith, Sethuraman Panchanathan, and Tong Zhang. SPIE, 2003. http://dx.doi.org/10.1117/12.515733.

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Svensson, Torbjorn K., Lars Sundeman, and Erland Sundberg. "Methods and studies on fiber reliability at Swedish Telecom." In Video Communications and Fiber Optic Networks, edited by Vincent J. Tekippe and John P. Varachi, Jr. SPIE, 1993. http://dx.doi.org/10.1117/12.163773.

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Wu, Gengshen, Li Liu, Yuchen Guo, et al. "Unsupervised Deep Video Hashing with Balanced Rotation." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/429.

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Recently, hashing video contents for fast retrieval has received increasing attention due to the enormous growth of online videos. As the extension of image hashing techniques, traditional video hashing methods mainly focus on seeking the appropriate video features but pay little attention to how the video-specific features can be leveraged to achieve optimal binarization. In this paper, an end-to-end hashing framework, namely Unsupervised Deep Video Hashing (UDVH), is proposed, where feature extraction, balanced code learning and hash function learning are integrated and optimized in a self-t
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Deng, Kangle, Tianyi Fei, Xin Huang, and Yuxin Peng. "IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/307.

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Automatically generating videos according to the given text is a highly challenging task, where visual quality and semantic consistency with captions are two critical issues. In existing methods, when generating a specific frame, the information in those frames generated before is not fully exploited. And an effective way to measure the semantic accordance between videos and captions remains to be established. To address these issues, we present a novel Introspective Recurrent Convolutional GAN (IRC-GAN) approach. First, we propose a recurrent transconvolutional generator, where LSTM cells are
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Liu, Ruixin, Zhenyu Weng, Yuesheng Zhu, and Bairong Li. "Temporal Adaptive Alignment Network for Deep Video Inpainting." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/129.

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Video inpainting aims to synthesize visually pleasant and temporally consistent content in missing regions of video. Due to a variety of motions across different frames, it is highly challenging to utilize effective temporal information to recover videos. Existing deep learning based methods usually estimate optical flow to align frames and thereby exploit useful information between frames. However, these methods tend to generate artifacts once the estimated optical flow is inaccurate. To alleviate above problem, we propose a novel end-to-end Temporal Adaptive Alignment Network(TAAN) for video
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Moreira, Daniel, Siome Goldenstein, and Anderson Rocha. "Sensitive-Video Analysis." In XXX Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação - SBC, 2017. http://dx.doi.org/10.5753/ctd.2017.3466.

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Sensitive videos that may be inadequate to some audiences (e.g., pornography and violence, towards underages) are constantly being shared over the Internet. Employing humans for filtering them is daunting. The huge amount of data and the tediousness of the task ask for computer-aided sensitive videoanalysis, which we tackle in two ways. In the first one (sensitive-video classification), we explore efficient methods to decide whether or not a video contains sensitive material. In the second one (sensitive-content localization), we explore manners to find the moments a video starts and ceases to
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Reports on the topic "Video methods"

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Baluk, Nadia, Natalia Basij, Larysa Buk, and Olha Vovchanska. VR/AR-TECHNOLOGIES – NEW CONTENT OF THE NEW MEDIA. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11074.

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The article analyzes the peculiarities of the media content shaping and transformation in the convergent dimension of cross-media, taking into account the possibilities of augmented reality. With the help of the principles of objectivity, complexity and reliability in scientific research, a number of general scientific and special methods are used: method of analysis, synthesis, generalization, method of monitoring, observation, problem-thematic, typological and discursive methods. According to the form of information presentation, such types of media content as visual, audio, verbal and combi
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Baral, Aniruddha, Jeffery Roesler, and Junryu Fu. Early-age Properties of High-volume Fly Ash Concrete Mixes for Pavement: Volume 2. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-031.

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High-volume fly ash concrete (HVFAC) is more cost-efficient, sustainable, and durable than conventional concrete. This report presents a state-of-the-art review of HVFAC properties and different fly ash characterization methods. The main challenges identified for HVFAC for pavements are its early-age properties such as air entrainment, setting time, and strength gain, which are the focus of this research. Five fly ash sources in Illinois have been repeatedly characterized through x-ray diffraction, x-ray fluorescence, and laser diffraction over time. The fly ash oxide compositions from the sam
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Bates, 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.

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[Extract from Executive Summary] This project, aimed at the development of a novel, automated mechanism for the collection of scallop stock data was a sub-part of the Scottish Inshore Fisheries Integrated Data Systems (SIFIDS) project. The project reviewed the state-of-the-art remote sensing (geophysical and camera-based) technologies available from industry and compared these to inexpensive, off-the -shelf equipment. Sea trials were conducted on scallop dredge sites and also hand-dived scallop sites. Data was analysed manually, and tests conducted with automated processing methods. It was con
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Methodology of sports working capacity level increase in basketball players on the basis of stimulation and rehabilitation means. Viktor V. Andreev, Igor E. Konovalov, Dmitriy S. Andreev, Aleksandr I. Morozov, 2021. http://dx.doi.org/10.14526/2070-4798-2021-16-1-5-11.

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The increased level of modern sport development increases the demands claimed on different aspects of the training process with further rehabilitation organization and realization. That is why we still have the problem of an adequate and effective integral system creation. The mentioned direction has a direct connection with the activity of scientists, coaches- practitioners and sports clubs. They have to work within one mechanism of interaction. Materials. Studying the level of working capacity influence stimulation and organism rehabilitation means on an organism of basketball players from h
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