Relevant bibliographies by topics / Spatio-temporal relations and motion events

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Spatio-temporal relations and motion events'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Spatio-temporal relations and motion events"

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Salamat, Nadeem, and El-hadi Zahzah. "Spatiotemporal Relations and Modeling Motion Classes by Combined Topological and Directional Relations Method." ISRN Machine Vision 2012 (May 16, 2012): 1–11. http://dx.doi.org/10.5402/2012/872687.

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Defining spatiotemporal relations and modeling motion events are emerging issues of current research. Motion events are the subclasses of spatiotemporal relations, where stable and unstable spatio-temporal topological relations and temporal order of occurrence of a primitive event play an important role. In this paper, we proposed a theory of spatio-temporal relations based on topological and orientation perspective. This theory characterized the spatiotemporal relations into different classes according to the application domain and topological stability. This proposes a common sense reasoning
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Özyürek, Aslı, Sotaro Kita, Shanley E. M. Allen, Reyhan Furman, and Amanda Brown. "How does linguistic framing of events influence co-speech gestures?" Gestural Communication in Nonhuman and Human Primates 5, no. 1-2 (2005): 219–40. http://dx.doi.org/10.1075/gest.5.1.15ozy.

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What are the relations between linguistic encoding and gestural representations of events during online speaking? The few studies that have been conducted on this topic have yielded somewhat incompatible results with regard to whether and how gestural representations of events change with differences in the preferred semantic and syntactic encoding possibilities of languages. Here we provide large scale semantic, syntactic and temporal analyses of speech- gesture pairs that depict 10 different motion events from 20 Turkish and 20 English speakers. We find that the gestural representations of t
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Özyürek, Aslı, Sotaro Kita, Shanley Allen, Reyhan Furman, and Amanda Brown. "How does linguistic framing of events influence co-speech gestures?: Insights from crosslinguistic variations and similarities." Gesture 5, no. 1-2 (2005): 219–40. http://dx.doi.org/10.1075/gest.5.1-2.15ozy.

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What are the relations between linguistic encoding and gestural representations of events during online speaking? The few studies that have been conducted on this topic have yielded somewhat incompatible results with regard to whether and how gestural representations of events change with differences in the preferred semantic and syntactic encoding possibilities of languages. Here we provide large scale semantic, syntactic and temporal analyses of speech- gesture pairs that depict 10 different motion events from 20 Turkish and 20 English speakers. We find that the gestural representations of t
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Chen, Jin-ming, Shi-xiang Gu, Ru-cheng Jiang, Gui-hua Lu, Zhi-yong Wu, and Xuan-xuan Du. "The relationship between Pacific SSTA and Autumn Extreme Precipitation Events of China." MATEC Web of Conferences 246 (2018): 02056. http://dx.doi.org/10.1051/matecconf/201824602056.

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Based on 610 Meteorological stations daily precipitation datasets in China and NCEP/NCAR reanalysis datasets and NOAA reconstruct sea surface temperature from 1960~2009, the spatial and temporal coupling relationships between the Pacific SSTA and extreme precipitation events (EPE) are analyzed by using Singular Value of Decomposition method. Moreover, possible effect mechanism of Pacific SSTA for EPE is also discussed, the results are as follows: They are remarkable relations between equator middle-east Pacific ocean (EMEPO) SSTA and EPE. In anomaly cold years of EMEPO, compel 500hPa height fi
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Niemz, Peter, Simone Cesca, Sebastian Heimann, et al. "Full-waveform-based characterization of acoustic emission activity in a mine-scale experiment: a comparison of conventional and advanced hydraulic fracturing schemes." Geophysical Journal International 222, no. 1 (2020): 189–206. http://dx.doi.org/10.1093/gji/ggaa127.

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SUMMARY Understanding fracturing processes and the hydromechanical relation to induced seismicity is a key question for enhanced geothermal systems (EGS). Commonly massive fluid injection, predominately causing hydroshearing, are used in large-scale EGS but also hydraulic fracturing approaches were discussed. To evaluate the applicability of hydraulic fracturing techniques in EGS, six in situ, multistage hydraulic fracturing experiments with three different injection schemes were performed under controlled conditions in crystalline rock at the Äspö Hard Rock Laboratory (Sweden). During the exp
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Laptev, Ivan, Barbara Caputo, Christian Schüldt, and Tony Lindeberg. "Local velocity-adapted motion events for spatio-temporal recognition." Computer Vision and Image Understanding 108, no. 3 (2007): 207–29. http://dx.doi.org/10.1016/j.cviu.2006.11.023.

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Zheng, K., D. Gu, F. Fang, et al. "VISUALIZATION OF SPATIO-TEMPORAL RELATIONS IN MOVEMENT EVENT USING MULTI-VIEW." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 14, 2017): 1469–76. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-1469-2017.

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Spatio-temporal relations among movement events extracted from temporally varying trajectory data can provide useful information about the evolution of individual or collective movers, as well as their interactions with their spatial and temporal contexts. However, the pure statistical tools commonly used by analysts pose many difficulties, due to the large number of attributes embedded in multi-scale and multi-semantic trajectory data. The need for models that operate at multiple scales to search for relations at different locations within time and space, as well as intuitively interpret what
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Zhang, Chen, Zhengyu Xia, and Joohee Kim. "Video Object Detection Using Event-Aware Convolutional Lstm and Object Relation Networks." Electronics 10, no. 16 (2021): 1918. http://dx.doi.org/10.3390/electronics10161918.

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Common video-based object detectors exploit temporal contextual information to improve the performance of object detection. However, detecting objects under challenging conditions has not been thoroughly studied yet. In this paper, we focus on improving the detection performance for challenging events such as aspect ratio change, occlusion, or large motion. To this end, we propose a video object detection network using event-aware ConvLSTM and object relation networks. Our proposed event-aware ConvLSTM is able to highlight the area where those challenging events take place. Compared with tradi
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Liu, Gang, Qinjin Fan, Weile Li, et al. "Spatio-temporal network modelling and analysis of global strong earthquakes (Mw ≥ 6.0)." Journal of the Geological Society 177, no. 5 (2020): 883–92. http://dx.doi.org/10.1144/jgs2019-151.

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We employ a spatio-temporal network modelling approach to identify possible relations between strong earthquakes and spatial regions worldwide. A global strong earthquake dataset containing 7736 events (Mw ≥ 6.0) from 1964 to 2018 is used. Statistical results identify power-law relationships and heavy tail phenomena in the spatial patterns of strong earthquakes. The interactions between regions follow the same law, with a few regions that may be hit by successive strong earthquakes with high probability. Also, we find that the interconnections between regions are mainly related to the successi
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McCune, Lorraine, and Ellen Herr-Israel. "Infant single words for dynamic events predict early verb meanings." Cognitive Linguistics 30, no. 4 (2019): 629–53. http://dx.doi.org/10.1515/cog-2018-0087.

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Abstract Do children’s single words related to motion and change also encode aspects of environmental events highlighted by Talmy’s motion event analysis? If so, these meanings may predict children’s early verb meanings. Analyzing the kinds of meanings expressed in single “dynamic event words” through motion event semantics yields links between early true verbs in sentences and the semantics encoded in these single words. Dynamic event words (e.g., more, allgone, out, down) reflect the sense of temporal and spatial reversibility established in the late sensorimotor period. We propose that thes
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Dissertations / Theses on the topic "Spatio-temporal relations and motion events"

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Salamat, Nadeem. "Modélisation des relations spatiales entre objets en mouvement." Phd thesis, Université de La Rochelle, 2011. http://tel.archives-ouvertes.fr/tel-00718399.

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Les relations spatiales entre les différentes régions dans une image sont utiles pour la compréhension et l'interprétation de la scène représentée. L'analyse Spatio-temporelle d'une scène implique l'intégration du temps dans des relations spatiales entre les objets en mouvement. Les relations spatio-temporelles sont définies dans un intervalle de temps utilisant la géométrie 3D ou l'extension de la géométrie 2D à la dimension temporelle. La modélisation des relations spatiales dynamiques prend en compte la position relative des objets et leurs relations directionnelles, ceci implique les relat
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Book chapters on the topic "Spatio-temporal relations and motion events"

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Vieira, Marcos R. "Complex Motion Pattern Queries in Spatio-Temporal Databases." In Geospatial Research. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9845-1.ch011.

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With the recent advancements and wide usage of location detection devices, very large quantities of data are collected by GPS and cellular technologies in the form of trajectories. The wide and increasing availability of such collected data has led to research advances in behavioral aspects of the monitored subjects (e.g., wild animals, people, and vehicles). Using trajectory data harvested by mobile devices, trajectories can be explored using motion pattern queries based on specific events of interest. While most research works on trajectory-based queries has focused on traditional range, nearest-neighbor, and similarity and join queries, there has been an increasing need to query trajectories using complex, yet more intuitive, motion patterns. In this chapter, we describe in detail complex motion pattern queries, which allow users to focus on trajectories that follow a specific sequence of spatio-temporal events. We demonstrate how these motion pattern queries can greatly help users to get insights from very large trajectory datasets.
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Conference papers on the topic "Spatio-temporal relations and motion events"

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Pavasant, Nat, Masayuki Numao, and Ken-ichi Fukui. "Spatio-Temporal Change Detection Using Granger Sequence Pattern." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/741.

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This paper proposed a method to detect changes in causal relations over a multi-dimensional sequence of events. Cluster Sequence Mining algorithm was modified to extract causal relations in the form of g-patterns: a pair of clusters of events that have their occurrence time determined by Granger causality. This paper also proposed the pattern time signature, a probabilistic density function of the cluster sequence occurring at any given time. Synthetic data were used for validation. The result shows that the proposed algorithm can correctly identify the changes in causal relations even under n
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Dang, Long Hoang, Thao Minh Le, Vuong Le, and Truyen Tran. "Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/88.

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Video Question Answering (Video QA) is a powerful testbed to develop new AI capabilities. This task necessitates learning to reason about objects, relations, and events across visual and linguistic domains in space-time. High-level reasoning demands lifting from associative visual pattern recognition to symbol like manipulation over objects, their behavior and interactions. Toward reaching this goal we propose an object-oriented reasoning approach in that video is abstracted as a dynamic stream of interacting objects. At each stage of the video event flow, these objects interact with each othe
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