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Probabilistic spatio-temporal retrieval in smart spaces
2013
Journal of Ambient Intelligence and Humanized Computing
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This paper extends our most recent work (Menon et al, 2012b) on spatio temporal querying in smart spaces and discusses the results of information retrieval and performance of a smart space from a querydependent ...
Keywords Smart Spaces · Abstract Framework · Biometrics · Recognition · Retrieval · Precision · Recall · Data Model · Spatio-temporal Queries · CLP(R) Introduction A smart space is a physical space embedded ...
Hence the data models and query languages of interest in a smart space are probabilistic and spatio-temporal. ...
doi:10.1007/s12652-013-0199-2
fatcat:rzfhmgswyzginbvczh26lscxiy
Spatio-Temporal Querying in Smart Spaces
2012
Procedia Computer Science
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Information retrieval in a smart space is concerned with information about the location of people at various points in time. ...
Towards this end, we abstract a smart space by a probabilistic state transition system in which each state records the probabilities of presence of a set of individuals who are present in various zones ...
Hence the data models and query languages of interest in a smart space are probabilistic and spatio-temporal. ...
doi:10.1016/j.procs.2012.06.048
fatcat:sgo2s23gwvghfc5xclinigz4da
Advances in ambient intelligence technologies
2013
Journal of Ambient Intelligence and Humanized Computing
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The paper by Menon, Jayaraman, and Govindaraju, ''Probabilistic Spatio-Temporal Retrieval in Smart Spaces'', deals with uncertainties of object tracking in smart spaces. ...
The paper proposes a data model that supports computation of probabilities of spatio-temporal queries giving the uncertainty of the location of an occupant. ...
doi:10.1007/s12652-013-0200-0
fatcat:f227ybdnjjchjgcpya2bp2gpnq
Spatio-Temporal Reasoning in Biometrics Based Smart Environments
2011
Procedia Computer Science
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We abstract a smart environment by a probabilistic state transition system in which each state records a set of individuals who are present in various zones of the smart environment. ...
In order to alleviate the inherent limitations of recognition, we propose spatio-temporal reasoning techniques based upon an analysis of the occupant tracks. ...
In the MRF approach, the operation of a smart environment may be modeled by an undirected graph whose nodes correspond to space-time (or zone-event) points and edges capture space-time adjacency. ...
doi:10.1016/j.procs.2011.07.049
fatcat:fufe3v7jsvgitp7ij6ktzpywzu
Robust voting algorithm based on labels of behavior for video copy detection
2006
Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06
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A spatio-temporal registration based on the relevant combination of detected labels is then applied. This approach is evaluated using a huge video database of 300 hours with different video tests. ...
The method we propose in this paper is a dedicated on-line retrieval method based on a combination of the different dynamic contexts computed during the off-line indexing. ...
In section 4, the robust algorithm of retrieval based on the smart use of labels during the on-line retrieval step and on a spatio-temporal registration is presented. ...
doi:10.1145/1180639.1180826
dblp:conf/mm/Law-ToBGB06
fatcat:65g63lenj5dstmo5zhjichx55a
Review of Power Spatio-Temporal Big Data Technologies for Mobile Computing in Smart Grid
2019
IEEE Access
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INDEX TERMS Mobile computing, data processing, smart grids, spatio-temporal big data. ...
Recently, power spatio-temporal big data (PSTBD) technology of smart grid based on mobile computing has experienced explosive growth. ...
) WN KY)) AND ((space or spatio) WN KY)) AND ((time or temporal) WN KY)). 375 related papers were retrieved, and their types were shown in Fig.4(a) . ...
doi:10.1109/access.2019.2957181
fatcat:txr7efdc3vd5lk2c3v2khm3ooa
Predictive Trip Planning - Smart Routing in Smart Cities
2014
International Conference on Extending Database Technology
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Future tra c conditions are computed by a Spatio-Temporal Random Field based on a stream of sensor readings. ...
Smart route planning gathers increasing interest as cities become crowded and jammed. We present a system for individual trip planning that incorporates future tra c hazards in routing. ...
Spatio-Temporal Random Field for Flow Prediction In order to model the temporal dynamics of the tra c flow as measured by the SCATS sensors (Figure 5 ), a Spatio-Temporal Random Field is constructed. ...
dblp:conf/edbt/LiebigPBM14
fatcat:d6b67wdpdvei3l2bw3wmehgmwm
Efficient Processing of Spatio-Temporal Joins on IoT Data
2020
IEEE Access
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In this paper, we propose an efficient method for processing spatio-temporal joins on IoT data. The proposed method divides the 3D spatio-temporal space into small, equal-sized spaces, called cells. ...
INDEX TERMS Spatio-temporal join, spatio-temporal index, Internet of Things, IoT data. ...
Reference [37] has proposed probabilistic, spatio-temporal joins on symbolic tracking data with uncertainty. ...
doi:10.1109/access.2020.3001214
fatcat:vsqw7unab5gajgoa76wq6zlkim
Factor graph framework for semantic video indexing
2002
IEEE transactions on circuits and systems for video technology (Print)
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To model the multinet computationally, we propose a factor graph framework which can enforce spatio-temporal constraints. ...
We formulate this problem as a probabilistic pattern-recognition problem for modeling semantics in terms of concepts and context. ...
Chang for the spatio-temporal segmentation and tracking algorithm [2] . ...
doi:10.1109/76.981844
fatcat:kohj5tvxxfeznc6by76llfib6a
A Survey of Performance Optimization in Neural Network-Based Video Analytics Systems
[article]
2021
arXiv
pre-print
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Video analytics systems perform automatic events, movements, and actions recognition in a video and make it possible to execute queries on the video. ...
Prior survey papers consider application-specific video analytics techniques that improve accuracy of the results; however, in this survey paper, we provide a review of the techniques that focus on optimizing ...
FRAMEQL is mainly used to retrieve the spatio-temporal information of video objects. ...
arXiv:2105.14195v1
fatcat:klq3urgjsjhb7ef7qfdp6dly3u
A probabilistic framework for semantic video indexing, filtering, and retrieval
2001
IEEE transactions on multimedia
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Video query by semantic keywords is one of the most difficult problems in multimedia data retrieval. ...
We propose a probabilistic framework for semantic video indexing, which can support filtering and retrieval and facilitate efficient content-based access. ...
We then use the spatio-temporal segmentation in [2] 1 applied separately to each shot to obtain regions homogeneous in color and motion. ...
doi:10.1109/6046.909601
fatcat:zy4464q6bzgk7cythnaacakv74
Life-long spatio-temporal exploration of dynamic environments
2015
2015 European Conference on Mobile Robots (ECMR)
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We propose a new idea for life-long mobile robot spatio-temporal exploration of dynamic environments. ...
Our method assumes that the world is subject to constant change, which adds an extra, temporal dimension to the explored space and makes the exploration task a never-ending data-gathering process. ...
Fig. 5 . 5 Spatio-temporal exploration behaviour: The robot uses its probabilistic world model (second row) and spatio-temporal entropy estimates (third row) to schedule its observations (bottom graph) ...
doi:10.1109/ecmr.2015.7324052
dblp:conf/ecmr/KrajnikSD15
fatcat:g3ckztil4zeqvgbdimeb4gjqpi
Probabilistic Map-Matching for Low-Frequency GPS Trajectories
[chapter]
2017
Lecture Notes in Geoinformation and Cartography
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In this paper, we propose a probabilistic adaptation of ST-Matching that equips it with the ability to express map-matching certainty using probabilities. ...
The adaptation, called probabilistic ST-Matching (PST-Matching) is inspired by similarities between ST-Matching and probabilistic approaches to map-matching based on a Hidden Markov Model. ...
In this paper, we present a map-matching algorithm that bridges the gap between the deterministic and probabilistic classes of spatio-temporal algorithms. ...
doi:10.1007/978-3-319-61297-3_15
fatcat:rqukkvaduzc2lcynrdilqxaxju
Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review
2022
Frontiers in Public Health
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We first summarized several data used in the spatio-temporal modeling of the COVID-19, and then, through literature review and summary, we found that the existing COVID-19 spatio-temporal models can be ...
However, there has not been a comprehensive review of the developing process of spatio-temporal dynamic models. ...
The spatio-temporal dynamics model not only needs to consider the propagation characteristics of space, but also need to explore its spatio-temporal development law. ...
doi:10.3389/fpubh.2022.1033432
pmid:36330112
pmcid:PMC9623320
fatcat:a4uyfktwujdtnm7kjzj2zgdvqy
Challenges of Human Behavior Understanding
[chapter]
2010
Lecture Notes in Computer Science
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In this brief summary, we give an overview of the Workshop and discuss the main research challenges. ...
Recent advances in pattern recognition has allowed computer scientists and psychologists to jointly address automatic analysis of of human behavior via computers. ...
Yet the temporal dimension is taken into account in only a few low-level descriptors: A 3D Harris operator that describes spatio-temporal interest points was described in [17] . ...
doi:10.1007/978-3-642-14715-9_1
fatcat:r2qtb454fbawtj76jcqy67kj6a
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