Paisagem geográfica: muito além do nosso campo de visão by Luis Antonio Bittar Venturi

“…However, many aspects within the frame may be derived from aspects or objects that are out of the frame. …”
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Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning by Adil Khan, Jiang Feng, Shaohui Liu, Muhammad Zubair Asghar

“…While training, the speed of the learning agent greatly depends on the number of frames the agent is permitted to skip. In this paper, how the frame skipping rate influences the agent’s learning and final performance is proposed, particularly using deep Q-learning, experience replay memory, and the ViZDoom Game AI research platform. …”
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Geographical landscape: further beyond our field of vision by Luis Antonio Bittar Venturi

“…However, many aspects within the frame may be derived from aspects or objects that are out of the frame. …”
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Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

“…The lightweight convolutional neural network (CNN) model initially identifies individuals in the video stream to minimize the processing of irrelevant frames. Subsequently, a sequence of 50 frames with identified persons is directed to a 3D-CNN model, where the spatiotemporal features of these sequences are extracted and passed to the classifier. …”
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Comparative analysis of the performance of Unity and Unreal Engine game engines in 3D games by Kamil Abramowicz, Przemysław Borczuk

“…The research focused on frames per second, CPU usage, RAM, and GPU memory. …”
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Online Detection of Abnormal Events in Video Streams by Tian Wang, Jie Chen, Hichem Snoussi

“…The nonlinear online support vector machine (SVM) firstly learns a limited set of the training frames to provide a basic reference model then updates the model and detects abnormal events in the current frame. …”
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New Proof for Balian-Low Theorem of Nonlinear Gabor System by D. H. Yuan, S. Z. Yang, X. W. Zheng, Y. F. Shen

“…We also introduce the concept of frame associated with nonlinear Fourier atoms for L2(ℝ,dθ) and obtain many subsidiary results for this kind of (Gabor) frames.…”
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Compactly Supported Curvelet-Type Systems by Kenneth N. Rasmussen, Morten Nielsen

“…We study a flexible method for constructing curvelet-type frames. These curvelet-type systems have the same sparse representation properties as curvelets for appropriate classes of smooth functions, and the flexibility of the method allows us to give a constructive description of how to construct curvelet-type systems with a prescribed nature such as compact support in direct space. …”
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Motion Feature Retrieval in Basketball Match Video Based on Multisource Motion Feature Fusion by Biao Ma, Minghui Ji

“…Then, the directional gradient histogram is used to represent the feature of the depth video frame. The statistical features of key frames are introduced to represent the histogram features of depth video. …”
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Infrastructured Timescapes of the Anthropocene and Climate Change by Claudio Coletta

“…This introduction aims to frame the main contents of the special issue and offers an overview of the collected contributions. …”
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The $$(1+3)$$ ( 1 + 3 ) -dimensional ‘quantum principle of relativity’ is Einstein’s principle of relativity by Matthew J. Lake

“…Physically, it corresponds to staying put within the canonical rest frame, then renaming space as ‘time’ and time as ‘space’. …”
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Efficient Moving Object Segmentation in LiDAR Point Clouds Using Minimal Number of Sweeps by Zoltan Rozsa, Akos Madaras, Tamas Sziranyi

“…We propose semantic information usage for multi-frame instance segmentation in order to enhance performance measures. …”
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Contrast-Based 3D/2D Registration of the Left Atrium: Fast versus Consistent by Matthias Hoffmann, Christopher Kowalewski, Andreas Maier, Klaus Kurzidim, Norbert Strobel, Joachim Hornegger

“…For well-contrasted sequences, the error for all 73 frames was 7.9 ± 6.3 mm and it dropped to 4.6 ± 4.0 mm when registering to an automatically selected, well enhanced frame in each sequence. …”
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Fuzzy Filtering Method for Color Videos Corrupted by Additive Noise by Volodymyr I. Ponomaryov, Hector Montenegro-Monroy, Luis Nino-de-Rivera, Heydy Castillejos

“…In the second step, two neighboring video frames are processed together. Possible local motions between neighboring frames are estimated using block matching procedure in eight directions to perform interframe filtering. …”
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Unequal loss protection scheme using a quality prediction model in a Wi-Fi broadcasting system by Dong Hyun Kim, Jong Deok Kim

“…In this scenario, allocating equal forward error correction packets to compressed frames is not an effective method for recovering broadcast packet loss. …”
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Real-Time Long-Range Object Tracking Based on Ensembled Model by Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, do-Hyeun Kim

“…Furthermore, the system accurately detects objects at distances of up to 250 meters, with an average inference time of 15 ms per frame for short-range detection and 18 ms per frame for long-range detection. …”
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Attention-Based Image-to-Video Translation for Synthesizing Facial Expression Using GAN by Kidist Alemayehu, Worku Jifara, Demissie Jobir

“…It also enables the generator to generate different frame size videos while remaining within the range [0, 1].…”
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Damage Source Identification of Reinforced Concrete Structure Using Acoustic Emission Technique by Alireza Panjsetooni, Norazura Muhamad Bunnori, Amir Hossein Vakili

“…This technique was employed for investigation process of damage in reinforced concrete (RC) frame specimens. A number of reinforced concrete RC frames were tested under loading cycle and were simultaneously monitored using AE. …”
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Haynes 242 Alloy for LARES 2 Satellite by D. Pilone, A. Brotzu, F. Felli, I. Ciufolini, B. Negri, C. Paris

“…The satellite LARES 2 is designed to test dragging of inertial frames, or frame-dragging, predicted by Einstein�s theory of General Relativity, with accuracy of a few parts in a thousand. …”
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BMNet: Enhancing Deepfake Detection Through BiLSTM and Multi-Head Self-Attention Mechanism by Demao Xiong, Zhan Wen, Cheng Zhang, Dehao Ren, Wenzao Li

“…Most existing models focus on feature extraction from static frames, neglecting the temporal correlation in videos, which decreases accuracy in detecting dynamic forged videos. …”
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