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Готові списки джерел за темами / Video frame slice / Статті в журналах

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Статті в журналах з теми "Video frame slice"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 липня 2025

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1

Sankisa, Arun, Katerina Pandremmenou, Peshala V. Pahalawatta, Lisimachos P. Kondi, and Aggelos K. Katsaggelos. "SSIM-Based Distortion Estimation for Optimized Video Transmission over Inherently Noisy Channels." International Journal of Multimedia Data Engineering and Management 7, no. 3 (2016): 34–52. http://dx.doi.org/10.4018/ijmdem.2016070103.

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The authors present two methods for examining video quality using the Structural Similarity (SSIM) index: Iterative Distortion Estimate (IDE) and Cumulative Distortion using SSIM (CDSSIM). In the first method, three types of slices are iteratively reconstructed frame-by-frame for three different combinations of packet loss and the resulting distortions are combined using their probabilities to give the total expected distortion. In the second method, a cumulative measure of the overall distortion is computed by summing the inter-frame propagation impact to all frames affected by a slice loss.

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2

Panagou, Natalia, Panagiotis Belememis, and Maria Koziri. "Image Segmentation Methods for Subpicture Partitioning in the VVC Video Encoder." Electronics 11, no. 13 (2022): 2070. http://dx.doi.org/10.3390/electronics11132070.

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The emergence of the new generation video coding standard, Versatile Video Coding (VVC), has brought along novel features rendering the new standard more efficient and flexible than its predecessors. Aside from efficient compression of 8 k or higher camera-captured content, VVC also supports a wide range of applications, including computer-generated content, high dynamic range (HDR) content, multilayer and multi-view coding, video region extraction, as well as 360° video. One of the newly introduced coding tools in VVC, offering extraction and independent coding of rectangular sub-areas within

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3

Liu, Shuang Jun, and Rong Yi Cui. "Automatic Detection of Crucial Areas Based on Speed Correlation in Video Sequences." Applied Mechanics and Materials 427-429 (September 2013): 1789–93. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1789.

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Based on video frame differential optical flow field, a method of crucial area detection for surveillance video images of examination room is proposed in this paper. Firstly, the optical flow field was calculated with the difference between two adjacent frames. Secondly, the scene was divided roughly into several blocks, and the blocks of which centroid speed is higher than given threshold were further divided into fine sub-blocks, and furthermore, the sub-block which has maximum centroid speed in the block was marked as the area of abnormal target. Finally, the sub-blocks with exceptional spe

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4

Wei, Haitao, Yu Junqing, and Li Jiang. "The design and evaluation of hierarchical multi-level parallelisms for H.264 encoder on multi-core architecture." Computer Science and Information Systems 7, no. 1 (2010): 189–200. http://dx.doi.org/10.2298/csis1001189w.

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As a video coding standard, H.264 achieves high compress rate while keeping good fidelity. But it requires more intensive computation than before to get such high coding performance. A Hierarchical Multi-level Parallelisms (HMLP) framework for H.264 encoder is proposed which integrates four level parallelisms - frame-level, slice-level, macroblock-level and data-level into one implementation. Each level parallelism is designed in a hierarchical parallel framework and mapped onto the multi-cores and SIMD units on multi-core architecture. According to the analysis of coding performance on each l

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5

Orozco-Barbosa, L., and Taeseop Han. "On the use of frame-based slice size for the robust transmission of MPEG video over ATM networks." IEEE Transactions on Broadcasting 46, no. 2 (2000): 134–43. http://dx.doi.org/10.1109/11.868929.

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6

Zhang, Duo Li, Chuan Jie Wang, Yu Kun Song, Gao Ming Du, and Xian Wen Cheng. "Design and Memory Optimization of Motion Estimation Module for H.264/AVC Encoder." Advanced Materials Research 179-180 (January 2011): 1350–55. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.1350.

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H.264/AVC standard has been widely used in video compression at various kinds of application domain. Motion estimation takes the most calculation workload of H.264/AVC encoder. Memory optimization has played an even more important role in encoder design. Firstly, dependency relation between motion vectors was analyzed and removed at a little cost of estimation accuracy decrement, and then a 3-stage macro-block level pipeline architecture was proposed to increase parallel process ability of motion estimation. Then an optimized memory organization strategy of reference frame data was put forward

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7

Liao, Che-Wei, Ker-Jer Huang, Jyh-Cheng Chen, Chih-Wei Kuo, Yin-Yi Wu, and Jui-Ting Hsu. "A Prototype Intraoral Periapical Sensor with High Frame Rates for a 2.5D Periapical Radiography System." Applied Bionics and Biomechanics 2019 (April 24, 2019): 1–9. http://dx.doi.org/10.1155/2019/7987496.

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X-ray radiography is currently used in dentistry and can be divided into two categories: two-dimensional (2D) radiographic images (e.g., using periapical film, cephalometric film, and panoramic X-ray) and three-dimensional (3D) radiographic images (e.g., using dental cone-beam computed tomography (CBCT)). Among them, 2D periapical film images are most commonly used. However, 2D periapical film compresses 3D image information into a 2D image, which means that depth cannot be identified from the image. Such compressed images lose a considerable amount of information, reducing their clinical appl

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8

More, Prof Chetan S. "Smart Digital Photo Frame Design." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 277–80. http://dx.doi.org/10.22214/ijraset.2021.36295.

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A Digital Photo frame, also known as a digital media frame. It's a device that displays pictures digitally without the use of a computer or printer. Today’s Digital picture frames comes in a number of designs and sizes, as well as with a variety of extra capabilities. The advent of digital picture frames antecedent all computers commence the dawn of projecting memories digitally. Digital photo frames were originally designed to showcase stationary, slide show of images digitally hence they give a professional look to display images in a frame and due to simplicity in the design, it can be used

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9

Xin, Jingwei, Nannan Wang, Jie Li, Xinbo Gao, and Zhifeng Li. "Video Face Super-Resolution with Motion-Adaptive Feedback Cell." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 12468–75. http://dx.doi.org/10.1609/aaai.v34i07.6934.

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Video super-resolution (VSR) methods have recently achieved a remarkable success due to the development of deep convolutional neural networks (CNN). Current state-of-the-art CNN methods usually treat the VSR problem as a large number of separate multi-frame super-resolution tasks, at which a batch of low resolution (LR) frames is utilized to generate a single high resolution (HR) frame, and running a slide window to select LR frames over the entire video would obtain a series of HR frames. However, duo to the complex temporal dependency between frames, with the number of LR input frames increa

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10

Wu, Rouwan, Zhiyong Xu, Jianlin Zhang, and Lihong Zhang. "Robust Global Motion Estimation for Video Stabilization Based on Improved K-Means Clustering and Superpixel." Sensors 21, no. 7 (2021): 2505. http://dx.doi.org/10.3390/s21072505.

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Obtaining accurate global motion is a crucial step for video stabilization. This paper proposes a robust and simple method to implement global motion estimation. We don’t extend the framework of 2D video stabilization but add a “plug and play” module to motion estimation based on feature points. Firstly, simple linear iterative clustering (SLIC) pre-segmentation is used to obtain superpixels of the video frame, clustering is performed according to the superpixel centroid motion vector and cluster center with large value is eliminated. Secondly, in order to obtain accurate global motion estimat

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11

Wang, Hongtao, Dong Zhang, and Houqiang Li. "A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding." Advances in Multimedia 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/489089.

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The support for region of interest (ROI) browsing, which allows dropping background part of video bitstreams, is a desirable feature for video applications. With the help of the slice group technique provided by H.264/SVC, rectangular ROI areas can be encoded into separate ROI slices. Additionally, by imposing certain constraints on motion estimation, ROI part of the bitstream can be decoded without background slices of the same layer. However, due to the additional spatial and temporal constraints applied to the encoder, overall coding efficiency would be significantly decreased. In this pape

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12

Purushotham, E., Ramani Kasarapu, and Bindu C. Shobha. "Accurate screen detection in presentation videos using deep learning." i-manager’s Journal on Future Engineering and Technology 20, no. 3 (2025): 1. https://doi.org/10.26634/jfet.20.3.21795.

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Lecture videos are widely used in classroom and conference environments, where digital slides are frequently displayed on a screen, making screen detection essential for extracting slide areas from presentation videos. This study presents a method for identifying the position of slide areas in video frames by utilizing the You Only Look Once (YOLO) object detection framework. A tailored YOLOv7 model is trained using a labeled dataset that includes frames from presentation videos featuring projected slides. The trained model is subsequently evaluated on unfamiliar images to correctly identify p

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13

Jaščur, Miroslav, Marek Bundzel, Marek Malík, Anton Dzian, Norbert Ferenčík, and František Babič. "Detecting the Absence of Lung Sliding in Lung Ultrasounds Using Deep Learning." Applied Sciences 11, no. 15 (2021): 6976. http://dx.doi.org/10.3390/app11156976.

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Certain post-thoracic surgery complications are monitored in a standard manner using methods that employ ionising radiation. A need to automatise the diagnostic procedure has now arisen following the clinical trial of a novel lung ultrasound examination procedure that can replace X-rays. Deep learning was used as a powerful tool for lung ultrasound analysis. We present a novel deep-learning method, automated M-mode classification, to detect the absence of lung sliding motion in lung ultrasound. Automated M-mode classification leverages semantic segmentation to select 2D slices across the tempo

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14

Sima, Mingjun. "Key frame extraction for Human Action Videos in dynamic spatio-temporal slice clustering." Journal of Physics: Conference Series 2010, no. 1 (2021): 012076. http://dx.doi.org/10.1088/1742-6596/2010/1/012076.

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15

Yang, Meng, Xuguang Lan, Nanning Zheng, and Pamela Cosman. "Depth-Assisted Temporal Error Concealment for Intra Frame Slices in 3-D Video." IEEE Transactions on Broadcasting 60, no. 2 (2014): 385–93. http://dx.doi.org/10.1109/tbc.2014.2321676.

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16

Marr, Charles. "422 Digital Video Images and Their Use in Extension Programs." HortScience 34, no. 3 (1999): 517B—517. http://dx.doi.org/10.21273/hortsci.34.3.517b.

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Digital images are becoming an essential part of computer “slide” presentations, identification of plants and problems from a distant location, and adding visual elements to Web pages. The use of digital video images allows capturing of single frames for individual or sequence photographs as well as “mass” storage of digital images. There are also some uses of short “video clips” to be included in slide or Web presentations. A discussion of digital image quality and demonstration of equipment used will be included in the presentation.

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17

Muralidhar, P., and C. B. Rama Rao. "High Performance Architecture of Motion Estimation Algorithm for Video Compression." Journal of Circuits, Systems and Computers 25, no. 08 (2016): 1650083. http://dx.doi.org/10.1142/s0218126616500833.

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Motion estimation (ME) is a highly computationally intensive operation in video compression. Efficient ME architectures are proposed in the literature. This paper presents an efficient low computational complexity systolic architecture for full search block matching ME (FSBME) algorithm. The proposed architecture is based on one-bit transform-based full search (FS) algorithm. The proposed ME hardware architectures perform FS ME for four macroblocks (MBs) in parallel. The proposed hardware architecture is implemented in VHDL. The FSBME hardware consumes 34% of the slices in a Xilinx Vertex XC6v

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18

Xu, Jianqiang, Haoyu Zhao, Weidong Min, Yi Zou, and Qiyan Fu. "DGG: A Novel Framework for Crowd Gathering Detection." Electronics 11, no. 1 (2021): 31. http://dx.doi.org/10.3390/electronics11010031.

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Crowd gathering detection plays an important role in security supervision of public areas. Existing image-processing-based methods are not robust for complex scenes, and deep-learning-based methods for gathering detection mainly focus on the design of the network, which ignores the inner feature of the crowd gathering action. To alleviate such problems, this work proposes a novel framework Detection of Group Gathering (DGG) based on the crowd counting method using deep learning approaches and statistics to detect crowd gathering. The DGG mainly contains three parts, i.e., Detecting Candidate F

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19

Olivares, Joaquin. "Reconfigurable VBSME Architecture Using RBSAD." JUCS - Journal of Universal Computer Science 18, no. (2) (2012): 264–85. https://doi.org/10.3217/jucs-018-02-0264.

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This paper presents an architecture which is capable of processing variable block size motion estimation (VBSME) and which is able to apply pixel precision reduction techniques in a reconfigurable way. The design has been carried out by using online arithmetic, which allows to process all motion vectors of a block in just one iteration. The system has been implemented on FPGA and just requires 7724 slices, reaching a performance of 55 4CIF frames per second (fps) in full precision and of 72 with 4 bit precision. Results for different search areas 31 x 31, 32 x 32, and 46 x 46 are presented. Us

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20

Dubinsky, Stanley. "History of linguistics as a path to dissertation progress and contextualization of research." Proceedings of the Linguistic Society of America 9, no. 2 (2024): 5741. http://dx.doi.org/10.3765/plsa.v9i2.5741.

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In our doctoral program (one which largely trains students in sociolinguistics, psycholinguistics, and L2 acquisition, rather than phonological, syntactic, and semantic theory), history of linguistics leads students to a deeper understanding of linguistics than is possible without it. Through this course, our students gain, in one semester rather than several, a broad perspective on the evolution of linguistic theories and methodologies. The course also serves as an opportunity for students to delve into the history of their own subfield and for them to frame the literature review portion of t

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21

Bilal, Muhammad, Wail Harasani, and Liang Yang. "Rapid Prototyping of Image Contrast Enhancement Hardware Accelerator on FPGAs Using High-Level Synthesis Tools." Jordan Journal of Electrical Engineering 9, no. 3 (2023): 322. http://dx.doi.org/10.5455/jjee.204-1673105856.

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Rapid prototyping tools have become essential in the race to market. In this work, we have explored employing rapid prototyping approach to develop an intellectual property core for real-time contrast enhancement which is a commonly employed image processing task. Specifically, the task involves real-time contrast enhancement of video frames, which is used to repair washed out (overexposed) or darkened (underexposed) appearance. Such scenario is frequently encountered in video footage captured underwater. Since the imaging conditions are not known a priori, the lower and upper limits of the dy

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22

Cheng, P. C., V. K. H. Chen, H. G. Kim, and R. E. Pearson. "An epi-fluorescent spinning-disk confocal microscope." Proceedings, annual meeting, Electron Microscopy Society of America 47 (August 6, 1989): 136–37. http://dx.doi.org/10.1017/s0424820100152653.

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The confocal microscope offers a number of advantages over the conventional light microscope in improvement in spatial resolution optical sectioning by rejecting out-of-focus signals. The applications of confocal microscopy in biology will be greatly expanded if real-time imaging can be achieved.A real-time epi-fluorescent confocal microscope based on a spinning disk design has been constructed at our laboratory (Fig. 1). Different from Petran's tandem scanning configuration, but similar to Kino's, our microscope has both the illumination and the detection rays sharing the same pinholes (Fig.

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23

Xiong, Ding, and Lu Yan. "Early smoke detection of forest fires based on SVM image segmentation." Journal of Forest Science 65, No. 4 (2019): 150–59. http://dx.doi.org/10.17221/82/2018-jfs.

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A smoke detection method is proposed in single-frame video sequence images for forest fire detection in large space and complex scenes. A new superpixel merging algorithm is further studied to improve the existing horizon detection algorithm. This method performs Simple Linear Iterative Clustering (SLIC) superpixel segmentation on the image, and the over-segmentation problem is solved with a new superpixel merging algorithm. The improved sky horizon line segmentation algorithm is used to eliminate the interference of clouds in the sky for smoke detection. According to the spectral features, th

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24

H, M. Nasron, Hafidzah Nurhasanah, Sandra Hidayat, and Sarmi Yonani. "Media Dan Desain Pembelajaran Pendidikan Agama Islam." Innovative: Journal Of Social Science Research 4, no. 3 (2024): 11315–29. http://dx.doi.org/10.31004/innovative.v4i3.11900.

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Penelitian ini dilakukan untuk mengetahui media dan desain pembelajaran yang tepat pada materi pembelajaran Pendidikan Agama Islam. Metode yang digunakan dalam penelitian ini yaitu Penelitian Studi Pustaka dengan mengumpulkan, mengolah, dan menyimpulkan data menggunakan metode/teknik tertentu guna mencari jawaban atas permasalahan yang dihadapi dalam penelitian kepustakaan. Hasil Penelitian: Media pembelajaran sebagai segala sesuatu yang dapat digunakan untuk menyampaikan pesan (materi pembelajaran) sehingga dapat merangsang perhatian, minat, pikiran, dan emosi siswa dalam kegiatan pembelajara

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25

Elіseev, Yevhen. "METHOD RECONSTRUCTION SEGMENTED VIDEO DATA STREAM BY NORMALIZED DATA SETS IN SPECTRAL-PARAMETRIC SPACE." Information and communication technologies, electronic engineering 5, no. 1 (2025): 55–63. https://doi.org/10.23939/ictee2025.01.055.

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The article shows that depending on the features of applied application, different requirements are put forward for information and technical features and performance characteristics of information and network systems. This motivates the creation of new and improvement of existing video encoding technologies. However, with the development of information technologies, new opportunities are created for their applied application. The requirements for: completeness of video data are growing; analysis of complex video scenes, frames; providing information advantage in the context of cyber confronta

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26

Halfon, Efraim. "Data Animator — Software that Visualizes Data as Computer-Generated Animation on Personal Computers: an Application to Hamilton Harbour." Water Quality Research Journal 31, no. 3 (1996): 609–22. http://dx.doi.org/10.2166/wqrj.1996.034.

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Abstract Data Animator, V1.0, is a scientific visualization package for microcomputers. Its main purpose is to generate two-dimensional animations from any data set collected over time. Geographical references such as a shore and/or bathymetry information, etc., may be added for additional clarity. Visualization of data as animations greatly simplifies the interpretation of field measurements. Data Animator is designed (but not restricted) to display data collected in aquatic environments, lakes, rivers, estuaries, oceans, etc., in a clear, concise way using colour to represent ranges of data

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27

Iacucci, M., G. Santacroce, P. Meseguer, et al. "P0340 Endo-Histo Foundational Fusion Model: A Novel Artificial Intelligence Approach for Predicting Histologic Remission and Early Response to Therapy in a Phase 2 Ulcerative Colitis Clinical Trial." Journal of Crohn's and Colitis 19, Supplement_1 (2025): i806—i807. https://doi.org/10.1093/ecco-jcc/jjae190.0514.

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Abstract Background Artificial Intelligence (AI)- enabled endoscopy and histology offer accurate, objective, and rapid assessment of disease activity in Ulcerative Colitis (UC). Emerging multi-source AI models integrating diverse datasets may enhance standardised disease evaluation and outcome prediction. This study aimed to develop a novel AI model fusing endoscopic and histological findings to improve the assessment of disease remission and predict early response to therapy in UC clinical trials. Methods A novel multimodal AI fusion algorithm was developed by integrating paired endoscopic vi

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28

Klein, Barrett A., and M. Kathryn Busby. "Slumber in a cell: honeycomb used by honey bees for food, brood, heating… and sleeping." PeerJ 8 (August 5, 2020): e9583. http://dx.doi.org/10.7717/peerj.9583.

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Sleep appears to play an important role in the lives of honey bees, but to understand how and why, it is essential to accurately identify sleep, and to know when and where it occurs. Viewing normally obscured honey bees in their nests would be necessary to calculate the total quantity and quality of sleep and sleep’s relevance to the health and dynamics of a honey bee and its colony. Western honey bees (Apis mellifera) spend much of their time inside cells, and are visible only by the tips of their abdomens when viewed through the walls of an observation hive, or on frames pulled from a typica

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29

Le, Thanh Ha, Kim Hye-Soo, Park Chun-Su, Jung Seung-Won, and Ko Sung-Jea. "Bitrate Reduction Using FMO for Video Streaming over Packet Networks." January 21, 2009. https://doi.org/10.5281/zenodo.1074767.

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Анотація:

Flexible macroblock ordering (FMO), adopted in the H.264 standard, allows to partition all macroblocks (MBs) in a frame into separate groups of MBs called Slice Groups (SGs). FMO can not only support error-resilience, but also control the size of video packets for different network types. However, it is well-known that the number of bits required for encoding the frame is increased by adopting FMO. In this paper, we propose a novel algorithm that can reduce the bitrate overhead caused by utilizing FMO. In the proposed algorithm, all MBs are grouped in SGs based on the similarity of the transfo

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30

Devi, Karabi, DEEPIKA HAZARIKA, and V. K. NATH. "VIDEO DENOISING BASED ON EXPLOITING INTRASCALE AND INTERSCALE DEPENDENCY IN WAVELET DOMAIN." International Journal of Computer and Communication Technology, April 2017, 82–86. http://dx.doi.org/10.47893/ijcct.2017.1404.

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In this paper, we propose a new video denoising algorithm which uses an efficient wavelet based spatio-temporal filter. The filter first applies 2D discrete wavelet transform (DWT) in horizontal and vertical directions on an input noisy video frame and then applies 1-D discrete cosine transform (DCT) in the temporal direction in order to reduce the redundancies which exist among the wavelet coefficients in the temporal direction. We observe that the subband coefficients with large magnitudes occur in clusters in locations corresponding to the edge locations even after applying the above spatio

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31

Maheswari, K., and Nimmagadda Padmaja. "Distortion‐less video wireless transmission in 5G new radio using delay‐distortion‐rate optimization (DDRO)." International Journal of Communication Systems, July 22, 2024. http://dx.doi.org/10.1002/dac.5904.

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SummaryIn this paper, a novel strategy of video communication over a 5G platform of new radio (NR) is developed, and it is named ViNR. With the support of optimization on the ViNR quality of service (QoS) system design, we stretched the outdated R‐D optimization to a novel delay‐distortion‐rate optimization (DDRO) control method. The entire model is partitioned with two types of coding: source coding and channel coding. For source coding, we affianced the inter‐frame prediction method of independent predicted frames (IPPPP) with Lagrange multiplier optimization. Channel coding is intricate wit

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32

Saha, Anup, Wassim Hamidouche, Miguel Chavarrías, Fernando Pescador, and Ibrahim Farhat. "Performance analysis of optimized versatile video coding software decoders on embedded platforms." Journal of Real-Time Image Processing 20, no. 6 (2023). http://dx.doi.org/10.1007/s11554-023-01376-7.

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AbstractIn recent years, the global demand for high-resolution videos and the emergence of new multimedia applications have created the need for a new video coding standard. Therefore, in July 2020, the versatile video coding (VVC) standard was released, providing up to 50% bit-rate savings for the same video quality compared to its predecessor high-efficiency video coding (HEVC). However, these bit-rate savings come at the cost of high computational complexity, particularly for live applications and on resource-constrained embedded devices. This paper evaluates two optimized VVC software deco

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Dr.K., SUBBA REDDY AMBATI VENKATA NAGESWARAMMA. "ENHANCING CAMPUS SURVEILLANCE: TEMPORAL SEGMENTATION FOR BEHAVIOR ANALYSIS." April 5, 2025. https://doi.org/10.5281/zenodo.15153702.

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Intelligent Video Surveillance systems play a pivotal part in enhancing safety, with abnormal gesture recognition being a crucial element of action recognition in computer vision. While CNN- grounded approaches have been extensively used, landing sufficient stir sequence features remains grueling. This study introduces a new frame that leverages long-term videotape modeling and a global meager livery slice strategy, dividing videos into three equal- duration parts and slightly testing particles. The proposed model employs an agreement of three Temporal Member Mills (TS

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Matthews, Linda. "Exploiting the Unexpected." idea journal 20, no. 01 (2023). http://dx.doi.org/10.37113/ij.v20i01.507.

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Contemporary imaging technologies have expanded our ability to view contemporary urban space from many vantage points. The camera's portability has meant a departure from any singular ‘ideal’ viewing position previously proposed using linear perspective geometry. This visual and technological shift has brought new opportunities for how urban space is understood and conceived for various modes of inhabitation. By fracturing and multiplying its representation, the recording of dynamic space thus destabilises the traditional relationship between image and form and, in so doing, presents previousl

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Guglielmi, Emanuela, Gabriele Bavota, Rocco Oliveto, and Simone Scalabrino. "Automatic Identification of Game Stuttering via Gameplay Videos Analysis." ACM Transactions on Software Engineering and Methodology, September 18, 2024. http://dx.doi.org/10.1145/3695992.

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Modern video games are extremely complex software systems and, as such, they might suffer from several types of post-release issues. A particularly insidious issue is constituted by drops in the frame rate ( i.e. , stuttering events), which might have a negative impact on the user experience. Stuttering events are frequently documented in the million of hours of gameplay videos shared by players on platforms such as Twitch or YouTube. From the developers’ perspective, these videos represent a free source of documented “testing activities”. However, especially for popular games, the quantity an

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Fu, Congrui, Hui Yuan, Hongji Xu, Hao Zhang, and Liquan Shen. "Cuboid‐Net: A multi‐branch convolutional neural network for joint space‐time video super resolution." IET Image Processing, September 11, 2023. http://dx.doi.org/10.1049/ipr2.12920.

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AbstractThe demand for high‐resolution videos has been consistently rising across various domains, propelled by continuous advancements in societal. Nonetheless, limitations in imaging and economic factors often result in obtaining low‐resolution images. The currently available space‐time video super‐resolution methods often fail to fully exploit the information existing within the spatio‐temporal domain. To address this problem, the issue is tackled by conceptualizing the input low‐resolution video as a cuboid structure. An innovative methodology called “Cuboid‐Net”, which incorporates a mult

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J.-H., Moon, Kim D.-O, and Park R.-H. "Video Matting based on Background Estimation." International Journal of Electrical, Electronic and Communication Sciences 0.0, no. 2 (2007). https://doi.org/10.5281/zenodo.1330631.

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This paper presents a video matting method, which extracts the foreground and alpha matte from a video sequence. The objective of video matting is finding the foreground and compositing it with the background that is different from the one in the original image. By finding the motion vectors (MVs) using a sliced block matching algorithm (SBMA), we can extract moving regions from the video sequence under the assumption that the foreground is moving and the background is stationary. In practice, foreground areas are not moving through all frames in an image sequence, thus we accumulate moving re

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Dayu, Lin. "Dataset associated with "Neural dynamics in the limbic system during male social behaviors"." August 15, 2023. https://doi.org/10.5281/zenodo.8128564.

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The upload include Data and matlab codes used in the paper "Neural dynamics in the limbic system during male social behaviors" published in Neuron 2023. 1. Multi-fiber recording data stored as MATLAB Data (MFP-ERa-GCXX represents data from one animal. Other matrix are index files).  Once you download MFP-ERa-GCXX.mat file, you could open them in matlab. The main variable (as a structure) that saves the recording is called "Raw". Each day of recording is saved in the field with the date, e.g. "r200716". Inside of this file, you can find the subf

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R. Ajay Krishnaraju, J. Poovarasan, S. Santhies Kumar, S. Surya, and P. Tamilselvan. "Object Detection Using Adaptive Block Partition and RCNN Algorithm." International Journal of Scientific Research in Science and Technology, June 10, 2023, 1009–23. http://dx.doi.org/10.32628/ijsrst523103196.

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Advancements in image and video processing are growing over the years for industrial robots, autonomous vehicles, cryptography, surveillance, medical imaging and computer-human interaction applications. One of the major challenges in real-time image and video processing is the execution of complex functions and high computational tasks. To overcome this issue, a hardware acceleration of different filter algorithms for both image and video processing is implemented on Xilinx Zynq®-7000 System on-Chip (SoC) device consists of Dual-core Cortex™-A9 processors which provides computing ability to pe

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Nolan, Katherine. "THE 'STUFF’ OF LIFE: MATERIAL PLAY AND PERFORMANCE IN DIGITAL VIDEO CULTURES AND CONTEMPORARY ART PRACTICE." AoIR Selected Papers of Internet Research, October 5, 2020. http://dx.doi.org/10.5210/spir.v2020i0.11292.

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Play and performance with materials and objects can be observed as a trope across digital video cultures. Forms such as slime making tutorials, prank stunts, ASMR and unboxing videos employ different forms of interaction that serve to emphasise material form and sensory qualities. Activities can include pouring viscous glue, crushing tin cans, exploding watermelons, nails tapping on plastic or sinking into sand. Sound, visual and material are employed to create a ‘haptic visuality’ (Marks, 2000) as an affective embodied experience. I will analyse these video cultures as presented in the algori

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"DNN Based Moth Search Optimization for Video Forgery Detection." International Journal of Engineering and Advanced Technology 9, no. 1 (2019): 1190–99. http://dx.doi.org/10.35940/ijeat.a9517.109119.

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Recently, video tampering process becomes easier due to the rapid advancements in user-friendly editing software and multimedia technology (e.g., Mokey by Imagineer Systems, and Photoshop and Premiere by Adobe). This technologies may highly tamper the original videos, so that the audience gets mislead. Nowadays, MPEG-4 codec is included in a large proportions of video cameras and surveillance systems. Therefore the double compression detection process included as an initial step in the video forensic is receiving a high significance. In this paper, the double compression artifacts is detected

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Kumar, Vikas, Shreyansh Tiwari, Rahul Kumar Sharma, Anurag Sinha, and Ghanshyam G. Tejani. "A real time video sliced frame image based intelligent traffic congestion monitoring system using faster CNN." Journal of Optics, March 13, 2025. https://doi.org/10.1007/s12596-025-02606-w.

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"Video Deraining for Mutual Motion by Fast Bilateral Filtering on Spatiotemporal Features." International Journal of Innovative Technology and Exploring Engineering 9, no. 3 (2020): 1772–82. http://dx.doi.org/10.35940/ijitee.b7205.019320.

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In video analytics, out of all the known challenges, (a) adverse unconstrained environmental condition resulting low illumination/ contrast and (b) mutual motion between camera assembly and object of interest are definitely the major ones. The challenges become multi-fold when the scene of interest gets impacted by both the aforementioned simultaneously. The first part of the current work has proposed a novel hierarchical scene categorization methodology based on selected spatiotemporal features. The procedure of determination of feature hierarchy and the detailed description of step by step m

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Shymanskyi, Volodymyr, and Ilona Klymenok. "3D CNN Approach for Tennis Movement Recognition Using Spatiotemporal Features of Video." Modelling and Simulation in Engineering 2025, no. 1 (2025). https://doi.org/10.1155/mse/1483523.

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The primary goal of this investigation is to develop a model for recognizing tennis movements using the spatiotemporal features of the video data. The study collects and organizes relevant video data, employing machine learning algorithms to create and train neural network models for movement classification. The implementation utilizes a 3D Convolutional Neural Network (3D CNN) to classify tennis player movements effectively. The experiments included a comparison of two variations of the created dataset and models that received different numbers of frames as input. The results showed that the

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Wijesekara, Patikiri Arachchige Don Shehan Nilmantha. "Towards Efficient and Reliable Video Communication: A Survey on Scalability, Error Protection, and Multicasting." Indonesian Journal of Computer Science 14, no. 1 (2025). https://doi.org/10.33022/ijcs.v14i1.4639.

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Efficient and reliable video communication is required to maintain high-quality and uninterrupted streaming in order to minimize bandwidth usage and to tackle network variability. Scalable Video Coding (SVC) introduces efficiency for video communication by introducing a base layer and a set of enhancement layers, while Unequal Error Protection (UEP) can provide high protection to important layers while having low redundancy for less important layers/bits/frames. Moreover, scalable video transmission’s efficiency can be further improved by multicasting a video to multiple recipients simultaneou

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Sengkey, Daniel Febrian, Sary Diane Ekawati Paturusi, Alwin Melkie Sambul, and Chyntia Theresa Gozali. "A Survey on Students’ Interests toward On-line Learning Media Choices (A Case Study from the Operations Research Course in the Department of Electrical Engineering, UNSRAT)." International Journal for Educational and Vocational Studies 1, no. 2 (2019). http://dx.doi.org/10.29103/ijevs.v1i2.1527.

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The advancement of Information Technology alters various aspects of human life, including learning. In the present era, on-line learning facilities are provided by institutions, ranging from formal higher education to open course-ware providers. On-line learning or e-learning is mostly achieved through stored media that widely available. These media take forms in various formats such as text and images, slide that equipped with narration from the lecturer, or a video where the lecturer appears inside the frames. We conducted a research about how students would response to the available learnin

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Zebhi, Saeedeh, SMT Almodarresi, and Vahid Abootalebi. "Human Activity Recognition Based on Transfer Learning with Spatio-Temporal Representations." International Arab Journal of Information Technology, 2021. http://dx.doi.org/10.34028/iajit/18/6/11.

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A Gait History Image (GHI) is a spatial template that accumulates regions of motion into a single image in which moving pixels are brighter than others. A new descriptor named Time-Sliced Averaged Gradient Boundary Magnitude (TAGBM) is also designed to show the time variations of motion. The spatial and temporal information of each video can be condensed using these templates. Based on this opinion, a new method is proposed in this paper. Each video is split into N and M groups of consecutive frames, and the GHI and TAGBM are computed for each group, resulting spatial and temporal templates. T

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Bruckmoser, Ralf, Gregor Antoniadis, Martin Strowitzki, et al. "High-resolution ultrasound of the supra- and infraclavicular levels of the brachial plexus including the axillary nerve: imaging anatomy based on multiplanar reconstructions and technical guide." Ultraschall in der Medizin - European Journal of Ultrasound, December 27, 2023. http://dx.doi.org/10.1055/a-2191-1893.

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Abstract Purpose The diagnosis of peripheral nerve injuries remains challenging. Electromyography and nerve conduction studies do not allow precise localization of the lesion and differentiation between lesions in continuity and non-continuity in cases with complete axonotmesis. Improved ultrasound technology allows the examination of almost the entire peripheral nervous system. The complex sono-anatomy of the brachial plexus outside of the standard scanning planes makes it difficult to access this region. Methods On the basis of the Visible Human Project of the National Institutes of Health (

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Landay, Lori. "Digital Transformations." M/C Journal 4, no. 2 (2001). http://dx.doi.org/10.5204/mcj.1899.

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In the age of digital transformations of images, communications, and storytelling, Marshall McLuhan's insight that "the medium is the message" can be augmented with the corollary that the media is the mix. Digital forms of narrative are not only characterized by their mixed, hybrid forms and content, but their recombinations 1 draw the spectator into the mix in unforeseen ways. By mixing varying degrees of non-linearity and interactivity in what are ultimately animations, digital narratives create new kinds of digital spectatorship. The examples I'll explore here are three films, Conceiving Ad

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Hill, Wes. "The Automedial Zaniness of Ryan Trecartin." M/C Journal 21, no. 2 (2018). http://dx.doi.org/10.5204/mcj.1382.

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IntroductionThe American artist Ryan Trecartin makes digital videos that centre on the self-presentations common to video-sharing sites such as YouTube. Named by New Yorker critic Peter Schjeldahl as “the most consequential artist to have emerged since the 1980s” (84), Trecartin’s works are like high-octane domestic dramas told in the first-person, blending carnivalesque and horror sensibilities through multi-layered imagery, fast-paced editing, sprawling mise-en-scène installations and heavy-handed digital effects. Featuring narcissistic young-adult characters (many of whom are played by the

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