Relevant bibliographies by topics / In-frame sequence features

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Academic literature on the topic 'In-frame sequence features'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "In-frame sequence features"

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Bulbul, Mohammad Farhad, Amin Ullah, Hazrat Ali, and Daijin Kim. "A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset." Sensors 22, no. 18 (2022): 6841. http://dx.doi.org/10.3390/s22186841.

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Depth video sequence-based deep models for recognizing human actions are scarce compared to RGB and skeleton video sequences-based models. This scarcity limits the research advancements based on depth data, as training deep models with small-scale data is challenging. In this work, we propose a sequence classification deep model using depth video data for scenarios when the video data are limited. Unlike summarizing the frame contents of each frame into a single class, our method can directly classify a depth video, i.e., a sequence of depth frames. Firstly, the proposed system transforms an i
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Hu, Yan. "Reliability Analysis of Multi-Objective Spatio-Temporal Segmentation of Human Motion in Video Sequences." International Journal of Distributed Systems and Technologies 12, no. 1 (2021): 16–29. http://dx.doi.org/10.4018/ijdst.2021010102.

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In view of the problem of uneven distribution of edge contour of multi-target human motion image in video sequence, which leads to the decline of target detection ability, an algorithm of multi-target spatial-temporal segmentation of human motion in video sequence based on edge contour feature detection and block fusion is proposed. Firstly, a multi-target spatial-temporal detection model of human motion in video sequence was constructed, extracting video image frame sequence, using discrete frame fusion method to segment and fuse moving target image, matching moving multi-target in video sequ
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Shi, Yunyu, Haisheng Yang, Ming Gong, Xiang Liu, and Yongxiang Xia. "A Fast and Robust Key Frame Extraction Method for Video Copyright Protection." Journal of Electrical and Computer Engineering 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/1231794.

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The paper proposes a key frame extraction method for video copyright protection. The fast and robust method is based on frame difference with low level features, including color feature and structure feature. A two-stage method is used to extract accurate key frames to cover the content for the whole video sequence. Firstly, an alternative sequence is got based on color characteristic difference between adjacent frames from original sequence. Secondly, by analyzing structural characteristic difference between adjacent frames from the alternative sequence, the final key frame sequence is obtain
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Loeb, D. D., R. W. Padgett, S. C. Hardies, et al. "The sequence of a large L1Md element reveals a tandemly repeated 5' end and several features found in retrotransposons." Molecular and Cellular Biology 6, no. 1 (1986): 168–82. http://dx.doi.org/10.1128/mcb.6.1.168-182.1986.

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The complete nucleotide sequence of a 6,851-base pair (bp) member of the L1Md repetitive family from a selected random isolate of the BALB/c mouse genome is reported here. Five kilobases of the element contains two overlapping reading frames of 1,137 and 3,900 bp. The entire 3,900-bp frame and the 3' 600 bp of the 1,137-bp frame, when compared with a composite consensus primate L1 sequence, show a ratio of replacement to silent site differences characteristic of protein coding sequences. This more closely defines the protein coding capacity of this repetitive family, which was previously shown
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Loeb, D. D., R. W. Padgett, S. C. Hardies, et al. "The sequence of a large L1Md element reveals a tandemly repeated 5' end and several features found in retrotransposons." Molecular and Cellular Biology 6, no. 1 (1986): 168–82. http://dx.doi.org/10.1128/mcb.6.1.168.

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The complete nucleotide sequence of a 6,851-base pair (bp) member of the L1Md repetitive family from a selected random isolate of the BALB/c mouse genome is reported here. Five kilobases of the element contains two overlapping reading frames of 1,137 and 3,900 bp. The entire 3,900-bp frame and the 3' 600 bp of the 1,137-bp frame, when compared with a composite consensus primate L1 sequence, show a ratio of replacement to silent site differences characteristic of protein coding sequences. This more closely defines the protein coding capacity of this repetitive family, which was previously shown
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Du, Ping, and Changhe Tu. "Quadrangulations of Animation Sequence." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 11 (2017): 1754021. http://dx.doi.org/10.1142/s0218001417540210.

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This paper presents a novel approach to quadrangulate a sequence of meshes with global optimization method, generating consistent quad meshes expressing global topological and geometric characteristics during animation. The key contribution is that our method first proposes a grouping strategy to extract the geometric and topological features of the sequence in animation quadrangulation. Animation sequence is firstly divided into groups through picked key frames. Then analyze the local deformation of each group and detect the surface feature for each reference frame, inducing a set of hard and
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Jiang, Zhuhan. "Object Modelling and Tracking in Videos via Multidimensional Features." ISRN Signal Processing 2011 (February 16, 2011): 1–15. http://dx.doi.org/10.5402/2011/173176.

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We propose to model a tracked object in a video sequence by locating a list of object features that are ranked according to their ability to differentiate against the image background. The Bayesian inference is utilised to derive the probabilistic location of the object in the current frame, with the prior being approximated from the previous frame and the posterior achieved via the current pixel distribution of the object. Consideration has also been made to a number of relevant aspects of object tracking including multidimensional features and the mixture of colours, textures, and object mot
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Wang, Yao, Lihua Cao, Keke Su, Deen Dai, Ning Li, and Di Wu. "Infrared Moving Small Target Detection Based on Space–Time Combination in Complex Scenes." Remote Sensing 15, no. 22 (2023): 5380. http://dx.doi.org/10.3390/rs15225380.

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In the infrared small target images with complex backgrounds, there exist various interferences that share similar characteristics with the target (such as building edges). The accurate detection of small targets is crucial in applications involving infrared search and tracking. However, traditional detection methods based on small target feature detection in a single frame image may result in higher error rates due to insufficient features. Therefore, in this paper, we propose an infrared moving object detection method that integrates spatio-temporal information. To address the limitations of
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Шевяков, Ю. І., В. В. Ларін, є. л. Казаков, and Ахмед Абдалла. "The video processing features research in computer systems and special purpose networks." Системи озброєння і військова техніка, no. 4(64), (December 17, 2020): 126–32. http://dx.doi.org/10.30748/soivt.2020.64.16.

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For a typical low complexity video sequence, the weight of each P-frame in the stream is approximately three times smaller than the I-frame weight. However, taking into account the number of P-frames in the group, they make the main contribution to the total video data amount. Therefore, the possibility of upgrading coding methods for P-frames is considered on preliminary blocks' type identification with the subsequent formation of block code structures. As the correlation coefficient between adjacent frames increases, the compression ratio of the differential-represented frame's binary mask i
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Nataraj, Sathees Kumar, M. P. Paulraj, Ahmad Nazri Bin Abdullah, and Sazali Bin Yaacob. "A systematic approach for segmenting voiced/unvoiced signals using fuzzy-logic system and general fusion of neural network models for phonemes-based speech recognition." Journal of Intelligent & Fuzzy Systems 39, no. 5 (2020): 7411–29. http://dx.doi.org/10.3233/jifs-200780.

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In this paper, a speech-to-text translation model has been developed for Malaysian speakers based on 41 classes of Phonemes. A simple data acquisition algorithm has been used to develop a MATLAB graphical user interface (GUI) for recording the isolated word speech signals from 35 non-native Malaysian speakers. The collected database consists of 86 words with 41 classes of phoneme based on Affricatives, Diphthongs, Fricatives, Liquid, Nasals, Semivowels and Glides, Stop and Vowels. The speech samples are preprocessed to eliminate the undesirable artifacts and the fuzzy voice classifier has been
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Book chapters on the topic "In-frame sequence features"

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Joshi, Keyur, Angelina Aziz, Philip Dietrich, and Markus König. "Efficient Data Curation Using Active Learning for a Video-Based Fire Detection." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.60.

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Video-based fire detection is a crucial object detection problem that relies on accurate and reliable data to detect fires. However, collecting and labeling fire-related data can be time-consuming and expensive, making it difficult to obtain sufficient data for training machine learning models. To address this challenge, uncertainty-based active learning techniques can be used to iteratively select the most informative samples for labeling. This can reduce the amount of labeled data needed to achieve high model performance and has the potential to even prune the training data with fewer inform
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Joshi, Keyur, Angelina Aziz, Philip Dietrich, and Markus König. "Efficient Data Curation Using Active Learning for a Video-Based Fire Detection." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.60.

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Video-based fire detection is a crucial object detection problem that relies on accurate and reliable data to detect fires. However, collecting and labeling fire-related data can be time-consuming and expensive, making it difficult to obtain sufficient data for training machine learning models. To address this challenge, uncertainty-based active learning techniques can be used to iteratively select the most informative samples for labeling. This can reduce the amount of labeled data needed to achieve high model performance and has the potential to even prune the training data with fewer inform
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Barlowe, Charles, Randy Schekman, and Aki Nakano. "Sarlp." In Guidebook to the Sinall GTPases. Oxford University PressOxford, 1995. http://dx.doi.org/10.1093/oso/9780198599456.003.0150.

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Abstract The SAR1 gene (EMBL accession number X51667) contains an intervening sequence that after splicing predicts an open reading frame of 190 amino acids. SAR1 cDNA sequencing confirms the excision of a 139 bp intron. Sari protein contains the four consensus motifs characteristic of GTPases (Bourne et al. 1991), although there are other notable features contained within the protein sequence. Sari p does not contain a C-terminal cysteine or an N-terminal glycine as potential residues for lipid modification, a feature observed in a number of other small GTPases.
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Caballero, Lisa. "Practical Aspects: Analysis of Notch." In Sequence Analysis Primer. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195098747.003.0007.

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The Notch sequence from Drosophila is used as the sample data. Notch is thought to control cell fate decisions in development It encodes a large, transmembrane protein which may function through cell adhesion, and it was cloned and sequenced in 1985(WhartonetaI., 1985a&b; Kidd et al., 1986). Notch is an ideal sequence to analyze because it contains many features that computers are good at finding. Figure 1 shows a schematic of the Notch protein and its major features. The Notch sequence is available in the Genbank and EMBL sequence database under accession numbers M16153, M16149, M16150, M
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Schwarz, Schwarz. "Saccharomyces cerevisiae Mdjlp." In Guidebook to Molecular Chaperones and Protein-Folding Catalysts. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780198599494.003.0040.

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Abstract The nuclear gene for mitochondrial DnaJ (MDJ1) was identified during the sequence analysis of chromosome VI (GenBank accession number D50617x53). The MDJ1 open reading frame encodes a polypeptide of 511 residues (Rowley et al., 1994) that possesses all the features characteristic of a DnaJ protein: (i) an N-terminal J-domain of about 70 amino acid residues; (ii) a 60-residue segment rich in glycine, phenylalanine; (iii) four cysteine-containing repeats with the sequence motif: CXXCXGXG (with X being predominantly a polar or charged residue);, (iv) a C-terminal domain with little seque
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He, Hu, Jiangang Gao, Guoxin Hao, Bin Wen, and Xinxin Ren. "Multi-Branch Network for Video Summarization Integrating Rich Information." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240087.

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With the explosive growth of video data on the Internet, it is especially important to identify the video you want most efficiently. Video summarization aims to maximize the representation of the original video by the shortest frames. Previous work usually uses BiLSTM to process time sequence information, but it has requirements on the number of frames to be processed and significant limitations on the sequence length. In this paper, we propose a Multi-Branch Network with Attention (MBN_Att) to summarize videos. In order to obtain more information, this paper adds a spatial attention mechanism
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Ruiz Adria and Binefa Xavier. "Modelling facial expressions dynamics with Gaussian Process Regression." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-139-7-91.

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It has been shown that the temporal evolution of the face during an expression is important to its correct interpretation. In recent years some approaches have attempt to model facial expressions dynamics by different methods such as HMMs, Dynamic Bayesian Networks or Bayesian temporal manifold model. In this paper, we present a novel approach to model the expression temporal dynamics using Gaussian Process Regression. Specifically, we use it to map the geometric features in any sequence frame into continuous values related with the intensity of the different types of expressions. Using the ev
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Loukas Constantinos and Georgiou Evangelos. "Visual Tracking of Laparoscopic Instruments in a Hough Space." In Studies in Health Technology and Informatics. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-022-2-270.

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This paper describes an approach to tracking laparoscopic instruments based solely on visual information. The two edges of the linear instrument are identified as maxima within a scalable search window in the Hough space. For each new frame the window is moved according to the velocity of the instrument computed in the previous frame. The computational cost of the Hough transform is further reduced by considering only edge features inside a mask determined by the Hough search window. The technique has been successfully applied in sequences of a simulation task and a surgical procedure.
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Fan, Wenkang, Wenjing Jiang, Hao Fang, Hong Shi, Jianhua Chen, and Xiongbiao Luo. "DCTAN: Densely Convolved Transformer Aggregation Networks for Monocular Dense Depth Prediction in Robotic Endoscopy." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240517.

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Accurate dense depth prediction for 3-D reconstruction of monocular endoscopic images plays an essential role in expanding the surgical field in robotic surgery. However, it is generally a challenge to precisely estimate dense depth due to complex surgical fields with limited field of viewing, illumination variations, and variable texture structure. This work explores the performance of convolutional networks and transformer-based networks for endoscopic depth prediction, and proposes a new architecture called densely convolved transformer aggregation networks (DCTAN) that can aggregate local
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Golash, Richa, and Yogendra Kumar Jain. "Cognitive Visual Tracking of Hand Gestures in Real-Time RGB Videos." In Artificial Intelligence. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103170.

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Real-time visual hand tracking is quite different from commonly tracked objects in RGB videos. Because the hand is a biological object and hence suffers from both physical and behavioral variations during its movement. Furthermore, the hand acquires a very small area in the image frame, and due to its erratic pattern of movement, the quality of images in the video is affected considerably, if recorded from a simple RGB camera. In this chapter, we propose a hybrid framework to track the hand movement in RGB video sequences. The framework integrates the unique features of the Faster Region-based
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Conference papers on the topic "In-frame sequence features"

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Strickland, Robin N., and Zuhua Mao. "Feature modeling and tracking in a time-resolved sequence of combustion images." In OSA Annual Meeting. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.tubb1.

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Computer-assisted flow-field analysis and interpretation require appropriate data models and digital image processing tools. In recent work1 we used frame-to-frame correlation to compute the flow of fluid boundary features in a sequence of laser shadowgraph images. The generality of our approach was limited by the use of a block representation for the shadowgraph structure. A new shape model for spatially resolved images of turbulent flows affords a more powerful vehicle for such tasks as tracking and classifying flow-field features. Each frame in a sequence of combustion images is initially r
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Yu, Jun, Keda Lu, Ji Zhao, Zhihong Wei, Iek-Heng Chu, and Peng Chang. "Dialogue Cross-Enhanced Central Engagement Attention Model for Real-Time Engagement Estimation." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/353.

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Real-time engagement estimation has been an important research topic in human-computer interaction in recent years. The emergence of the NOvice eXpert Interaction (NOXI) dataset, enriched with frame-wise engagement annotations, has catalyzed a surge in research efforts in this domain. Existing feature sequence partitioning methods for ultra-long videos have encountered challenges including insufficient information utilization and repetitive inference. Moreover, those studies focus mainly on the target participants’ features without taking into account those of the interlocutor. To address thes
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Whiting, James S., Miguel Eckstein, David Honig, and Neal Eigler. "New dynamic display significantly improves feature detection in coronary angiograms." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thnn7.

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The goal of this study was to improve detectability of low contrast features within moving coronary arteries in dynamically displayed cineangiograms. We compared performance and decision times between the standard display, in which the artery moves with respect to a nearly stationary background of patient structure noise, and a "stabilized" display, where each image of the sequence is digitally shifted so that the artery is fixed at the center of the screen and the background moves. We performed a four-alternative forced-choice study to measure detectability of spherical voids within cylindric
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Vallee, Réal, and Claude Delisle. "Mode Analysis of a Hybrid Bistable Device." In Instabilities and Dynamics of Lasers and Nonlinear Optical Systems. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/idlnos.1985.wd34.

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The exact scenario leading to chaos in infinite dimensional systems systems described by differential-difference equations (DDE) has attracted a lot of attention recently. The electro-optic bistable device which is described by that sort of equation was shown by Gibbs & al.1 (after a prediction by Ikeda & al.2) to reach chaos after a truncated perioddoubling sequence resembling the case quantitatively studied by Feigenbaum. However in the chaotic region, the electro-optic system shows windows of "frequency-locked" oscillations and other features that cannot be interpreted in the frame
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Radulescu, Bogdan Alexandru, and Victorita Radulescu. "Model of Human Actions Recognition Based on 2D Kernel." In ASME 2021 30th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/isps2021-65031.

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Abstract Action Recognition is a domain that gains interest along with the development of specific motion capture equipment, hardware and power of processing. Its many applications in domains such as national security and behavior analysis make it even more popular among the scientific community, especially considering the ascending trend of machine learning methods. Nowadays approaches necessary to solve real life problems through human actions recognition became more interesting. To solve this problem are mainly two approaches when attempting to build a classifier, either using RGB images or
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Katsuki, Ryosuke, Keiichi Watanuki, Suguru Mashima, and Yusuke Osawa. "Quantifying Interest from Facial Images, and the Role of Video in Effective Business Calls." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003238.

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It is said, to succeed in business, put the interest of customers ahead of your own. This is great advice to businesses, racing to deploy video calls to provide COVID-safe meetings and/or benefit from general conveniences and gain productivity. If 55% of the communication is truly nonverbal as suggested by Prof. Albert Mehrabian from University of California in Los Angeles, putting the interest of the customer ahead means listening carefully to the nonverbal channels. In video calls, one must try hardest to read, understand and manage the customer interest expressed in the video images.In this
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Benfratello, S. "Experimental analysis of new moment resisting steel connections." In AIMETA 2022. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902431-25.

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Abstract. In the recent past, the authors proposed a new steel device devoted to representing an innovative moment resisting connection for steel frame elements called LRPD (Limited Resistance Plastic Device). It is a steel element characterized by symmetry with respect to three orthogonal barycentric planes and constituted by a sequence of three portions with abrupt cross section changes, each of one identifies a steel element of suitably designed geometry. LRPD possesses the following characterizing features: any elastic flexural stiffness variation with respect to the original selected memb
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Radulescu, Bogdan Alexandru, and Victorita Radulescu. "Modeling 3D Convolution Architecture for Actions Recognition." In ASME 2021 30th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/isps2021-65036.

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Abstract Action recognition infrastructure can be applied anywhere behavior analysis is required and represents presently a domain of maximum actuality in security and surveillance. The model based on 3D Convolutions is a middle ground between simple key-frame approaches based on 2D convolutions, and other more complex approaches based on Recurrent Neural Networks. Behavior analysis represents a domain greatly improved by action recognition. By placing human actions in different categories it is possible to extract statistics regarding a person’s behavior, characteristics, abilities and prefer
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Chen, Jia-Lin, Chun-Chen Kuo, and Liang-Gee Chen. "Region-of-unpredictable determination for accelerated full-frame feature generation in video sequences." In 2014 Visual Communications and Image Processing (VCIP). IEEE, 2014. http://dx.doi.org/10.1109/vcip.2014.7051599.

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Cao, Chengzhi, Xueyang Fu, Yurui Zhu, Gege Shi, and Zheng-Jun Zha. "Event-driven Video Deblurring via Spatio-Temporal Relation-Aware Network." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/112.

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Video deblurring with event information has attracted considerable attention. To help deblur each frame, existing methods usually compress a specific event sequence into a feature tensor with the same size as the corresponding video. However, this strategy neither considers the pixel-level spatial brightness changes nor the temporal correlation between events at each time step, resulting in insufficient use of spatio-temporal information. To address this issue, we propose a new Spatio-Temporal Relation-Attention network (STRA), for the specific event-based video deblurring. Concretely, to util
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Reports on the topic "In-frame sequence features"

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Mazzoni, Silvia, Nicholas Gregor, Linda Al Atik, Yousef Bozorgnia, David Welch, and Gregory Deierlein. Probabilistic Seismic Hazard Analysis and Selecting and Scaling of Ground-Motion Records (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/zjdn7385.

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This report is one of a series of reports documenting the methods and findings of a multi-year, multi-disciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER) and funded by the California Earthquake Authority (CEA). The overall project is titled “Quantifying the Performance of Retrofit of Cripple Walls and Sill Anchorage in Single-Family Wood-Frame Buildings,” henceforth referred to as the “PEER–CEA Project.” The overall objective of the PEER–CEA Project is to provide scientifically based information (e.g., testing, analysis, and resulting loss models) that
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McElwain, Terry F., Eugene Pipano, Guy H. Palmer, Varda Shkap, Stephn A. Hines, and Wendy C. Brown. Protection of Cattle against Babesiosis: Immunization against Babesia bovis with an Optimized RAP-1/Apical Complex Construct. United States Department of Agriculture, 1999. http://dx.doi.org/10.32747/1999.7573063.bard.

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Previous research and current efforts at control of babesiosis fall short of meeting the needs of countries where the disease is endemic, such as Israel, as well as the needs of exporting countries and countries bordering on endemic areas, such as the U.S. Our long-term goal is to develop improved methods of immunization against bovine babesiosis based on an understanding of the molecular mechanisms of immune protection and parasite targets of a protective immune response. In our previous BARD project, we established the basis for focusing on rhoptry antigens as components of a subunit vaccine
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