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Journal articles on the topic 'Semantic video coding'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

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1

Qiyuan, Du, Duan Yiping, and Tao Xiaoming. "Facial video semantic coding for semantic communication." China Communications 22, no. 6 (2025): 83–100. https://doi.org/10.23919/jcc.ja.2023-0606.

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Essel, Daniel Danso, Ben-Bright Benuwa, and Benjamin Ghansah. "Video Semantic Analysis." International Journal of Computer Vision and Image Processing 11, no. 2 (2021): 1–21. http://dx.doi.org/10.4018/ijcvip.2021040101.

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Sparse Representation (SR) and Dictionary Learning (DL) based Classifier have shown promising results in classification tasks, with impressive recognition rate on image data. In Video Semantic Analysis (VSA) however, the local structure of video data contains significant discriminative information required for classification. To the best of our knowledge, this has not been fully explored by recent DL-based approaches. Further, similar coding findings are not being realized from video features with the same video category. Based on the foregoing, a novel learning algorithm, Sparsity based Local

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Chen, Sovann, Supavadee Aramvith, and Yoshikazu Miyanaga. "Learning-Based Rate Control for High Efficiency Video Coding." Sensors 23, no. 7 (2023): 3607. http://dx.doi.org/10.3390/s23073607.

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High efficiency video coding (HEVC) has dramatically enhanced coding efficiency compared to the previous video coding standard, H.264/AVC. However, the existing rate control updates its parameters according to a fixed initialization, which can cause errors in the prediction of bit allocation to each coding tree unit (CTU) in frames. This paper proposes a learning-based mapping method between rate control parameters and video contents to achieve an accurate target bit rate and good video quality. The proposed framework contains two main structural codings, including spatial and temporal coding.

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Benuwa, Ben-Bright, Yongzhao Zhan, Benjamin Ghansah, Ernest K. Ansah, and Andriana Sarkodie. "Sparsity Based Locality-Sensitive Discriminative Dictionary Learning for Video Semantic Analysis." Mathematical Problems in Engineering 2018 (August 5, 2018): 1–11. http://dx.doi.org/10.1155/2018/9312563.

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Dictionary learning (DL) and sparse representation (SR) based classifiers have greatly impacted the classification performance and have had good recognition rate on image data. In video semantic analysis (VSA), the local structure of video data contains more vital discriminative information needed for classification. However, this has not been fully exploited by the current DL based approaches. Besides, similar coding findings are not being realized from video features with the same video category. Based on the issues stated afore, a novel learning algorithm, called sparsity based locality-sen

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Antoszczyszyn, P. M., J. M. Hannah, and P. M. Grant. "Reliable tracking of facial features in semantic-based video coding." IEE Proceedings - Vision, Image, and Signal Processing 145, no. 4 (1998): 257. http://dx.doi.org/10.1049/ip-vis:19982153.

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NOMURA, Yoshihiko, Ryutaro MATSUDA, Ryota Sakamoto, Tokuhiro SUGIURA, Hirokazu Matsui, and Norihiko KATO. "2301 Low Bit-Rate Semantic Coding Technology for Lecture Video." Proceedings of the JSME annual meeting 2005.7 (2005): 89–90. http://dx.doi.org/10.1299/jsmemecjo.2005.7.0_89.

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Pimentel-Niño, M. A., Paresh Saxena, and M. A. Vazquez-Castro. "Reliable Adaptive Video Streaming Driven by Perceptual Semantics for Situational Awareness." Scientific World Journal 2015 (2015): 1–16. http://dx.doi.org/10.1155/2015/394956.

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A novel cross-layer optimized video adaptation driven by perceptual semantics is presented. The design target is streamed live video to enhance situational awareness in challenging communications conditions. Conventional solutions for recreational applications are inadequate and novel quality of experience (QoE) framework is proposed which allows fully controlled adaptation and enables perceptual semantic feedback. The framework relies on temporal/spatial abstraction for video applications serving beyond recreational purposes. An underlying cross-layer optimization technique takes into account

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Guo, Jia, Xiangyang Gong, Wendong Wang, Xirong Que, and Jingyu Liu. "SASRT: Semantic-Aware Super-Resolution Transmission for Adaptive Video Streaming over Wireless Multimedia Sensor Networks." Sensors 19, no. 14 (2019): 3121. http://dx.doi.org/10.3390/s19143121.

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There are few network resources in wireless multimedia sensor networks (WMSNs). Compressing media data can reduce the reliance of user’s Quality of Experience (QoE) on network resources. Existing video coding software, such as H.264 and H.265, focuses only on spatial and short-term information redundancy. However, video usually contains redundancy over a long period of time. Therefore, compressing video information redundancy with a long period of time without compromising the user experience and adaptive delivery is a challenge in WMSNs. In this paper, a semantic-aware super-resolution transm

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Stivaktakis, Radamanthys, Grigorios Tsagkatakis, and Panagiotis Tsakalides. "Semantic Predictive Coding with Arbitrated Generative Adversarial Networks." Machine Learning and Knowledge Extraction 2, no. 3 (2020): 307–26. http://dx.doi.org/10.3390/make2030017.

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In spatio-temporal predictive coding problems, like next-frame prediction in video, determining the content of plausible future frames is primarily based on the image dynamics of previous frames. We establish an alternative approach based on their underlying semantic information when considering data that do not necessarily incorporate a temporal aspect, but instead they comply with some form of associative ordering. In this work, we introduce the notion of semantic predictive coding by proposing a novel generative adversarial modeling framework which incorporates the arbiter classifier as a n

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Herranz, Luis. "Integrating semantic analysis and scalable video coding for efficient content-based adaptation." Multimedia Systems 13, no. 2 (2007): 103–18. http://dx.doi.org/10.1007/s00530-007-0090-0.

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Li, Hongcheng, Geming Xia, Chaodong Yu, Yuze Zhang, and Hongfeng Li. "Review of the application of semantic communication technology." Advances in Engineering Technology Research 13, no. 1 (2025): 84. https://doi.org/10.56028/aetr.13.1.84.2025.

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With the development of communication technology, the communication parties have higher and higher requirements for the reliability and frequency spectrum efficiency of the communication system, and the traditional communication mode cannot meet the above requirements. Semantic communication introduces semantic coding, which can extract semantic features from source information, so that the communication system only needs to transmit the required semantic feature information, which greatly reduces the communication system's demand for communication resources. At present, semantic communication

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Motlicek, Petr, Stefan Duffner, Danil Korchagin, et al. "Real-Time Audio-Visual Analysis for Multiperson Videoconferencing." Advances in Multimedia 2013 (2013): 1–21. http://dx.doi.org/10.1155/2013/175745.

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We describe the design of a system consisting of several state-of-the-art real-time audio and video processing components enabling multimodal stream manipulation (e.g., automatic online editing for multiparty videoconferencing applications) in open, unconstrained environments. The underlying algorithms are designed to allow multiple people to enter, interact, and leave the observable scene with no constraints. They comprise continuous localisation of audio objects and its application for spatial audio object coding, detection, and tracking of faces, estimation of head poses and visual focus of

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Zhou, Xiang, Yue Cui, Gang Xu, et al. "Sleep Action Recognition Based on Segmentation Strategy." Journal of Imaging 9, no. 3 (2023): 60. http://dx.doi.org/10.3390/jimaging9030060.

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In order to solve the problem of long video dependence and the difficulty of fine-grained feature extraction in the video behavior recognition of personnel sleeping at a security-monitored scene, this paper proposes a time-series convolution-network-based sleeping behavior recognition algorithm suitable for monitoring data. ResNet50 is selected as the backbone network, and the self-attention coding layer is used to extract rich contextual semantic information; then, a segment-level feature fusion module is constructed to enhance the effective transmission of important information in the segmen

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Barannik, V. V., S. S. Shulgin, Yu M. Babenko, et al. "Technology of Sliding Coding of Uneven Diagonal Sequences in Two-Dimensional Spectral Space of Transformants." Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, no. 94 (December 30, 2023): 13–23. https://doi.org/10.20535/radap.2023.94.13-23.

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The requirements for the qualitative characteristics of the remote form of video interaction are substantiated. These include the following: completeness and integrity of video information; timeliness of video information delivery, which is determined by the time of delay in information delivery. This includes the time spent on processing and transmission via information and communication networks. Based on a comprehensive analysis, it is shown that there is a contradiction in the process of meeting these requirements. On the one hand, it is driven by the need to increase the capacity of infor

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Riaz, Waqar, Gao Chenqiang, Abdullah Azeem, Saifullah, Jamshaid Allah Bux, and Asif Ullah. "Traffic Anomaly Prediction System Using Predictive Network." Remote Sensing 14, no. 3 (2022): 447. http://dx.doi.org/10.3390/rs14030447.

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Anomaly anticipation in traffic scenarios is one of the primary challenges in action recognition. It is believed that greater accuracy can be obtained by the use of semantic details and motion information along with the input frames. Most state-of-the art models extract semantic details and pre-defined optical flow from RGB frames and combine them using deep neural networks. Many previous models failed to extract motion information from pre-processed optical flow. Our study shows that optical flow provides better detection of objects in video streaming, which is an essential feature in further

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Vinsent, Paramanantham, and S. Suresh Kumar Dr. "A Review on Key Features and Novel Methods for Video Summarization." International Journal of Engineering and Advanced Technology (IJEAT) 12, no. 3 (2023): 88–105. https://doi.org/10.35940/ijeat.F3737.0212323.

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<strong>Abstract: </strong>In this paper, we discuss techniques, algorithms, evaluation methods used in online, offline, supervised, unsupervised, multi-video and clustering methods used for Video Summarization/Multi-view Video Summarization from various references. We have studied different techniques in the literature and described the features used for generating video summaries with evaluation methods, supervised, unsupervised, algorithms and the datasets used.We have covered the survey towards the new frontier of research in computational intelligence technique like ANN (Artificial Neural

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Akbari, Mohammad, Jie Liang, Jingning Han, and Chengjie Tu. "Learned Bi-Resolution Image Coding using Generalized Octave Convolutions." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (2021): 6592–99. http://dx.doi.org/10.1609/aaai.v35i8.16816.

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Learned image compression has recently shown the potential to outperform the standard codecs. State-of-the-art rate-distortion (R-D) performance has been achieved by context-adaptive entropy coding approaches in which hyperprior and autoregressive models are jointly utilized to effectively capture the spatial dependencies in the latent representations. However, the latents are feature maps of the same spatial resolution in previous works, which contain some redundancies that affect the R-D performance. In this paper, we propose a learned bi-resolution image coding approach that is based on the

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Тимочко, О. І., В. В. Ларін, Ю. І. Шевяков, and А. Абдалла. "Investigation of the mechanism for processing predicted frames in the technology of compression of transformed images in computer systems and special purpose networks." Системи обробки інформації, no. 4(163), (October 28, 2020): 87–93. http://dx.doi.org/10.30748/soi.2020.163.09.

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The analysis of image processing technologies shows the main practice way to improve the quality of image processing. It is a preliminary analysis and subsequent image processing. It depends on the result of the preliminary analysis (filtration, sharpening, noise reduction, etc.). However, when selection of the method of preliminary analysis, an intermediate evaluation of results, selection of the subsequent processing method, etc. decision makers involved. This is not acceptable for practical implementation in automatic processing and transmission of video information systems. The main diffic

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Stanek, Kelly M., Yong D. Park, Anthony M. Murro, Debra Moore-Hill, and Fernando Vale. "A-282 Verbal Fluencies are Differentially Associated with Processing Speed in Temporal Lobe Epilepsy." Archives of Clinical Neuropsychology 37, no. 6 (2022): 1433. http://dx.doi.org/10.1093/arclin/acac060.282.

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Abstract Objective: The current study sought to better understand the impact of processing speed on pre-surgical assessment of verbal fluencies in temporal lobe epilepsy (TLE) by examining whether processing speed is differentially related to category and letter fluencies across patients with left and right unilateral TLE. Method: The retrospective data sample included 36 adults aged 17-60 (56% female) with cryptogenic TLE and both video EEG evidence for unilateral seizure focus (right TLE n =16; left TLE n=20) and confirmed left hemisphere language dominance, who had undergone pre-surgical ne

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Barannik, Volodymyr, S. Shulgin, O. Ignatyev, R. Onyshchenko, Yu Babenko, and Valeriy Barannik. "CONCEPT FUNCTIONAL TRANSFORMATIONS FOR FORMATION OF SYNTACTIC DESCRIPTION DIAGONALS TRANSFORMANT." Information and communication technologies, electronic engineering 3, no. 1 (2023): 23–31. http://dx.doi.org/10.23939/ictee2023.01.023.

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The article justifies the existence an imbalance in the provision of video information services using infocommunication networks. It is shown that such an imbalance is due to the destructive actions of the opposing side. Many these attacks relate to the disabling of energy and telecommunications infrastructure. This leads to a significant drop in the bandwidth of the infocommunication network. Accordingly, it is necessary to localize the imbalance between the information load infocommunication network and its bandwidth in the face of crisis factors. To do this, you must use an integrated appro

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Sazhina, E., A. Yeleuzhanova, G. Beysembaeva, and S. Duisengazy. "LEXICAL AND SEMANTIC ANALYSIS OF THE NEUROTECHNOLOGY TERMINOLOGY IN PODCASTS." Bulletin of Shokan Ualikhanov Kokshetau University Philological Series, no. 1 (March 26, 2025): 150–66. https://doi.org/10.59102/kufil/2025/iss1pp150-166.

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This article explores how podcasts, as a modern media communication genre, contribute to the formation, adaptation, and popularization of neurotechnology terminology on popular platforms such as "YouTube", "www.litres.ru" and "Podcasts.lab" among a broad audience. In the era of globalization and the rapid development of technology, the emergence of new scientific terms demands effective integration into everyday language. Podcasts offer a valuable means for non-experts to grasp complex terms in an accessible and engaging manner. The aim of this study is to analyze the lexical and semantic char

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Liu, Hongxia. "Design of Neural Network Model for Cross-Media Audio and Video Score Recognition Based on Convolutional Neural Network Model." Computational Intelligence and Neuroscience 2022 (June 13, 2022): 1–12. http://dx.doi.org/10.1155/2022/4626867.

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In this paper, the residual convolutional neural network is used to extract the note features in the music score image to solve the problem of model degradation; then, multiscale feature fusion is used to fuse the feature information of different levels in the same feature map to enhance the feature representation ability of the model. A network composed of a bidirectional simple loop unit and a chained time series classification function is used to identify notes, parallelizing a large number of calculations, thereby speeding up the convergence speed of training, which also makes the data in

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Dror, Itai, and Ofer Hadar. "Improved Perceptual Quality of Traffic Signs and Lights for the Teleoperation of Autonomous Vehicle Remote Driving via Multi-Category Region of Interest Video Compression." Entropy 27, no. 7 (2025): 674. https://doi.org/10.3390/e27070674.

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Autonomous vehicles are a promising solution to traffic congestion, air pollution, accidents, wasted time, and resources. However, remote driver intervention may be necessary in extreme situations to ensure safe roadside parking or complete remote takeover. In these cases, high-quality real-time video streaming is crucial for remote driving. In a preliminary study, we presented a region of interest (ROI) High-Efficiency Video Coding (HEVC) method where the image was segmented into two categories: ROI and background. This involved allocating more bandwidth to the ROI, which yielded an improveme

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Tong, Chau, Drew Margolin, Rumi Chunara, et al. "Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube." JMIR Medical Informatics 10, no. 8 (2022): e37862. http://dx.doi.org/10.2196/37862.

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Background Common methods for extracting content in health communication research typically involve using a set of well-established queries, often names of medical procedures or diseases, that are often technical or rarely used in the public discussion of health topics. Although these methods produce high recall (ie, retrieve highly relevant content), they tend to overlook health messages that feature colloquial language and layperson vocabularies on social media. Given how such messages could contain misinformation or obscure content that circumvents official medical concepts, correctly ident

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Alforova, Z. "Trans‑Image in Viktor Sidorenko’ Creative Work." Vìsnik Harkìvsʹkoi deržavnoi akademìi dizajnu ì mistectv 2021, no. 1 (2021): 51–56. http://dx.doi.org/10.33625/visnik2021.01.051.

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The aim of the article is to investigate the transformation of the image as a morphological unit of modern visual art on the example of the creative work of a Ukrainian artist and researcher of modern visual art Viktor Sidorenko. The research methodology is based on the methods developed in the works of J. Landsdown and S. Schofield, S. Yerokhin and others. The paper presents an attempt to study a new type of image – post-post-classical image, which has an ontologically transgressive character. The research has important implications for understanding the modern morphological changes in the vi

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Chung, Siyoung, Mark Chong, Jie Sheng Chua, and Jin Cheon Na. "Evolution of corporate reputation during an evolving controversy." Journal of Communication Management 23, no. 1 (2019): 52–71. http://dx.doi.org/10.1108/jcom-08-2018-0072.

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PurposeThe purpose of this paper is to investigate the evolution of online sentiments toward a company (i.e. Chipotle) during a crisis, and the effects of corporate apology on those sentiments.Design/methodology/approachUsing a very large data set of tweets (i.e. over 2.6m) about Company A’s food poisoning case (2015–2016). This case was selected because it is widely known, drew attention from various stakeholders and had many dynamics (e.g. multiple outbreaks, and across different locations). This study employed a supervised machine learning approach. Its sentiment polarity classification and

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Tahouri, Mohammad Ali, Alin Adrian Alecu, Leon Denis, and Adrian Munteanu. "Lossless and Near-Lossless L-Infinite Compression of Depth Video Data." Sensors 25, no. 5 (2025): 1403. https://doi.org/10.3390/s25051403.

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The acquisition of depth information sensorial data is critically important in medical applications, such as the monitoring of the elderly or the extraction of human biometrics. In such applications, compressing the stream of depth video data plays an important role due to bandwidth constraints on transmission channels. This paper introduces a novel lightweight compression system that encodes the semantics of the input depth video and can operate in both lossless and L-infinite near-lossless compression modes. A quantization technique that targets the L-infinite norm for sparse distributions a

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Chebet, Mercy, and Petronilla Mbatha Mathooko. "Communication for Social and Behaviour Change: A Case Study of Puppetry Animation in Kenya." International Journal of Social Science and Humanities Research (IJSSHR) ISSN 2959-7056 (o); 2959-7048 (p) 1, no. 1 (2023): 566–89. http://dx.doi.org/10.61108/ijsshr.v1i1.48.

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The COVID-19 pandemic has claimed over six million lives worldwide (Ritchie, 2022). In Kenya, more than three hundred thousand lives have been lost (Ministry of Health, 2022). Prevention has been the main focus. This has necessitated behaviour change. The government, non-governmental organisations, and private agencies set out to find Social and Behaviour Change Communication (SBCC) strategies at the start of the pandemic. Different strategies received different types of feedback. One strategy that has been proven time and time again to be effective in mass communication and education while en

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Karimipour, Amir, and Shahla Sharifi. "An experimental study on deictic verbs and the coding patterns of deixis in Ilami Kurdish: A comparative study." Studia Linguistica Universitatis Iagellonicae Cracoviensis 138, no. 4 (2021): 159–86. http://dx.doi.org/10.4467/20834624sl.21.014.14742.

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Conducting a video-based experiment in English, Japanese and Thai, Matsumoto et al. (2017) report that deictic verbs are more frequently used when the motion is not just toward the speaker but also into his/her functional space (i.e. functional HERE of the speaker) defined by limits of interaction and visibility as well as when the motion is accompanied by an interactional behaviour of the Figure such as greeting the speaker. They claim that directional venitive prepositional phrases (henceforth PPs) like toward me do not exhibit this feature, though. This paper aims to reevaluate these propos

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Ma, Siwei, Junlong Gao, Ruofan Wang, et al. "Overview of intelligent video coding: from model-based to learning-based approaches." Visual Intelligence 1, no. 1 (2023). http://dx.doi.org/10.1007/s44267-023-00018-7.

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AbstractIntelligent video coding (IVC), which dates back to the late 1980s with the concept of encoding videos with knowledge and semantics, includes visual content compact representation models and methods enabling structural, detailed descriptions of visual information at different granularity levels (i.e., block, mesh, region, and object) and in different areas. It aims to support and facilitate a wide range of applications, such as visual media coding, content broadcasting, and ubiquitous multimedia computing. We present a high-level overview of the IVC technology from model-based coding (

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Décombas, Marc, Younous Fellah, Fréderic Dufaux, Beatrice Pesquet-popescu, Francois Capman, and Erwann Renan. "Seam carving modeling for semantic video coding in security applications." APSIPA Transactions on Signal and Information Processing 4 (2015). http://dx.doi.org/10.1017/atsip.2015.4.

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In some security applications, it is important to transmit just enough information to take the right decisions. Traditional video codecs try to maximize the global quality, irrespective of the video content pertinence for certain tasks. To better maintain the semantics of the scene, some approaches allocate more bitrate to the salient information. In this paper, a semantic video compression scheme based on seam carving is proposed. The idea is to suppress non-salient parts of the video by seam carving. The reduced sequence is encoded with H.264/AVC while the seams are encoded with our approach

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Sun, Bo, Yong Wu, Jun He, and Lejun Yu. "Structured Coding Based on Semantic Disambiguation for Video Captioning." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4174916.

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Samarathunga, Prabhath, Yasith Ganearachchi, Thanuj Fernando, Adhuran Jayasingam, Indika Alahapperuma, and Anil Fernando. "A Semantic Communication and VVC Based Hybrid Video Coding System." IEEE Access, 2024, 1. http://dx.doi.org/10.1109/access.2024.3399174.

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Wen, Yihan, Zheng Zhang, Jiayi Sun, Jinglei Li, Chung Shue Chen, and Guanchong Niu. "SAW: Semantic-Aware WebRTC Transmission Using Diffusion-Based Scalable Video Coding." IEEE Internet of Things Journal, 2024, 1. http://dx.doi.org/10.1109/jiot.2024.3486725.

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Geetha, P., and Vasumathi Narayanan. "Facial Expression Analysis for Content-Based Video Retrieval." Journal of Computing and Information Science in Engineering 14, no. 4 (2014). http://dx.doi.org/10.1115/1.4027885.

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In this work, we propose a technique for facial expression recognition to bridge the semantic gap among the features that can be extracted in a content-based video retrieval system. The paper aims to provide accurate and reliable facial expression recognition of a dominant person in video frames using deterministic binary cellular automata (DBCA). Both geometric and appearance-based features are used. Efficient dimension reduction techniques for face detection and recognition are applied. Using the facial action coding system (FACS), one can code automatically nearly any anatomically possible

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Behnke, Maciej. "What makes male gamers angry, sad, amused, and enthusiastic while playing violent video games?" January 1, 2021. https://doi.org/10.5281/zenodo.4550865.

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Gaming elicits strong emotional responses. However, little is known about which situations within the gameplay elicit specific emotions. Thus, we aimed to identify which gaming situations elicit positive and negative emotions. We asked Counter-Strike: Global Offensive gamers (N = 652) to recall and write about a situation when they felt amused, angry, enthusiastic, or sad. In our analysis, we used semantic coding and affective words analysis using Linguistic Inquiry and Word Count (LIWC). We found that gamers described emotional situations (e.g., clutch, victory, or hacking) that we clustered

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Oksiuk, Alexander, Natalia Korolyova, Volodymyr Barannik, Dmytro Zhuikov, Yuriy Babenko, and Roman Puhachov. "CREATION OF METHODOLOGICAL BASIS FOR IDENTIFICATION OF SIGNIFICANT SEGMENTS FROM THE POINT OF VIEW OF PRESERVATION OF SEMANTIC INTEGRITY OF A VIDEO RESOURCE." Visnyk Universytetu “Ukraina”, 2019. http://dx.doi.org/10.36994/2707-4110-2019-2-23-28.

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The necessity of further improvement of technologies of effective syntactic coding of video information resources for ensuring their information security in systems of critical infrastructure is proved. It is shown that one of the stages is required to use the methods of identification of video frame segments by the degree of their saturation with structural elements. It is proved that it creates conditions for further decrease in bit volume, and consequently and increase of level of categories of availability and integrity of information resources. Development of identification of significant

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Greco, Antonino, and Markus Siegel. "A spatiotemporal style transfer algorithm for dynamic visual stimulus generation." Nature Computational Science, December 20, 2024. https://doi.org/10.1038/s43588-024-00746-w.

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AbstractUnderstanding how visual information is encoded in biological and artificial systems often requires the generation of appropriate stimuli to test specific hypotheses, but available methods for video generation are scarce. Here we introduce the spatiotemporal style transfer (STST) algorithm, a dynamic visual stimulus generation framework that allows the manipulation and synthesis of video stimuli for vision research. We show how stimuli can be generated that match the low-level spatiotemporal features of their natural counterparts, but lack their high-level semantic features, providing

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Wulf, Tim, Daniel Possler, and Johannes Breuer. "Video game genre ((Online)Games)." DOCA - Database of Variables for Content Analysis, March 26, 2021. http://dx.doi.org/10.34778/3f.

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The variable 'genre' aims to identify and compare different types of games, mainly in terms of gameplay differences (i.e., rules and players’ possibilities to interact with a game). Genre is usually coded by using external video game databases, such as those published on journalistic websites.  Field of application/theoretical foundation: The variable ‘genre’ is often used in content analyses of video games to identify and compare different types of games. Lynch et al (2016), for example, investigate whether the number of sexualized characters differ between various video gam

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Kojima, Kaori, Yoshihisa Hirakawa, Takashi Yamanaka, et al. "Challenges faced by older people with dementia during the COVID‐19 pandemic as perceived by professionals: a qualitative study with interviews." Psychogeriatrics, May 20, 2024. http://dx.doi.org/10.1111/psyg.13131.

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AbstractBackgroundPrevious studies have highlighted a decline in the mental health of older adults over the course of the coronavirus disease 2019 (COVID‐19) pandemic. Few studies have determined the possible causes of behavioural and psychological symptoms of dementia during COVID‐19 in a comprehensive manner. We aimed to identify the challenges faced by older adults with dementia during the COVID‐19 pandemic.MethodsThis study adopted a qualitative approach to understanding the perceptions of healthcare professionals, such as regarding the negative effects of COVID‐19 on the mental health of

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Landmark, Anne Marie Dalby, Pernille Bonnevie Hansen, Hanne Gram Simonsen, Anne-Brita Knapskog, and Jan Svennevig. "Word searching in multilingual dementia: An interdisciplinary approach." International Journal of Bilingualism, July 26, 2024. http://dx.doi.org/10.1177/13670069241256479.

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Aims and objectives: This study investigates how multilingual speakers with dementia mobilise their multilingual and interactional resources when searching for words in a naming test setting, and how their word-search behaviour relates to lexical retrieval processes characteristic of multilinguals, as well as to aspects of cognitive decline. Methodology and approach: The study takes an interdisciplinary approach by combining conversation analysis (CA) with psycholinguistic perspectives on lexical access and neurological perspectives on cognitive decline. Data and analysis: Data for the study a

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Boudjadja, Rima, Mohamed Azni, Abdelnasser Dahmani, and Mohamed Nadjib Zennir. "EFFICIENT MOBILE VIDEO TRANSMISSION BASED ON A JOINT CODING SCHEME." Journal of Information and Communication Technology, November 6, 2017. http://dx.doi.org/10.32890/jict2017.16.2.8235.

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In this paper, we propose a joint coding design which uses the Symbol Forward Error Correction (S-FEC) at the application layer. The purpose of this work is on one hand to minimize the Packet Loss Rate (PLR) and, on the other hand to maximize the visual quality of video transmitted over a wireless network (WN). The scheme proposed is founded on a FEC adaptable with the semantics of the H.264/AVC video encoding. This mechanism relies upon a rate distortion algorithm, controlling the channel code rates under the global rate constraints given by the WN. Based on a data partitioning (DP) tool, bot

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Jin, Xin, Ruoyu Feng, Simeng Sun, Runsen Feng, Tianyu He, and Zhibo Chen. "Semantical video coding: Instill static-dynamic clues into structured bitstream for AI tasks." Journal of Visual Communication and Image Representation, March 2023, 103816. http://dx.doi.org/10.1016/j.jvcir.2023.103816.

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Tuuri, Emilia. "Concerning variation in encoding spatial motion: Evidence from Finnish." Nordic Journal of Linguistics, October 11, 2021, 1–22. http://dx.doi.org/10.1017/s0332586521000202.

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Abstract This article describes variation in the use of frames of reference (FoRs; object-centred, viewpoint-centred, and geocentric, as in Holistic Spatial Semantics) in Finnish descriptions of motion and connects questions of variation to a typological framework. Recent research has described the choice of FoRs as a process with multiple factors. This complexity and controlling for the main variables posited in the literature create the starting point for the current study that explores factors affecting the choice of FoRs in motion situations and within speakers of the same language. The da

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Mackenzie, Adrian. "Making Data Flow." M/C Journal 5, no. 4 (2002). http://dx.doi.org/10.5204/mcj.1975.

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Why has software code become an object of intense interest in several different domains of cultural life? In art (.net art or software art), in Open source software (Linux, Perl, Apache, et cetera (Moody; Himanen)), in tactical media actions (hacking of WEF Melbourne and Nike websites), and more generally, in the significance attributed to coding as work at the pinnacle of contemporary production of information (Negri and Hardt 298), code itself has somehow recently become significant, at least for some subcultures. Why has that happened? At one level, we could say that this happened because i

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Hollerweger, Elisabeth. "Natur literarisch programmieren?" Jahrbuch der Gesellschaft für Kinder- und Jugendliteraturforschung, December 1, 2022, 141–53. http://dx.doi.org/10.21248/gkjf-jb.95.

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[English title and abstract below] Die Jugendliteratur reagiert auf die zunehmenden Bedrohungen durch Klimawandel und Umweltkrisen schon seit Ende der Nullerjahre mit einer Art ,Future Nature Writing‘, das dystopische Zukunftswelten entwirft und Begegnungen mit intakter(er) Natur nur noch nostalgisch erinnert, fantastisch wiederherstellt oder medial simuliert. Letzteres ist innerhalb des jugendliterarischen Feldes ein relativ neues Phänomen, das im vorliegenden Beitrag am Beispiel des Romans Cryptos (Poznanski 2020) näher beleuchtet wird. Dabei wird auf Basis von Foucaults Raumtheorie zunächst

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