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Large-scale video copy retrieval with temporal-concentration SIFT

Yingying Zhu, Xiaoyan Huang, Qiang Huang, Qi Tian
2016 Neurocomputing  
Wu et al. [25] presented the spatio-temporal trajectory as the detecting feature.  ...  However, the storage and query costs of SIFT become unbearable for large-scale databases.  ...  Acknowledgements The authors wish to acknowledge the financial support from: (i) Special funds for the development of strategic emerging industries in Shenzhen (JCYJ20130326105637578) and Shenzhen science  ... 
doi:10.1016/j.neucom.2015.09.114 fatcat:22tpydlfdbcapftumfnylem5pi

A Survey on Big Data for Trajectory Analytics

Damião Ribeiro de Almeida, Cláudio de Souza Baptista, Fabio Gomes de Andrade, Amilcar Soares
2020 ISPRS International Journal of Geo-Information  
Hence, Spatial Big Data emerges as a data management technology for indexing, storing, and retrieving large volumes of spatio-temporal data.  ...  A Data Warehouse (DW) is one of the premier Big Data analysis and complex query processing infrastructures. Trajectory Data Warehouses (TDW) emerge as a DW dedicated to trajectory data analysis.  ...  [49] 2018 DiStRDF: Distributed Spatio-temporal RDF Queries on Spark I Processing SPARQL spatio-temporal queries in parallel Spark framework Alsah et al. [14] 2019 A Survey on Trajectory Data  ... 
doi:10.3390/ijgi9020088 fatcat:bgpfxcx5jngd7cjcj6u4fl4jpi

Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data

Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo
2017 2017 IEEE 33rd International Conference on Data Engineering (ICDE)  
Mining spatio-temporal reachable regions aims to find a set of road segments from massive trajectory data, that are reachable from a user-specified location and within a given temporal period.  ...  Accurately extracting such spatio-temporal reachable area is vital in many urban applications, e.g., (i) location-based recommendation, (ii) location-based advertising, and (iii) business coverage analysis  ...  Proposed Framework We develop a data-driven Spatio-Temporal Reachability Query framework with three components, including Pre-processing, Index Construction, and Query Processing. Pre-processing.  ... 
doi:10.1109/icde.2017.171 dblp:conf/icde/WuDLBZL17 fatcat:bczyu7fccjhd3ciawpkqulva74

A Survey on Spatio-temporal Data Analytics Systems [article]

Md Mahbub Alam and Luis Torgo and Albert Bifet
2021 arXiv   pre-print
, and (3) programming languages and software tools for processing spatio-temporal data.  ...  Due to the surge of spatio-temporal data volume, the popularity of location-based services and applications, and the importance of extracted knowledge from spatio-temporal data to solve a wide range of  ...  [17] have described four classes of spatio-temporal data types, such as event data, point reference data, trajectory data, and raster data.  ... 
arXiv:2103.09883v1 fatcat:ndpqz67bvnghpng36o3liqlr2q

Enabling Location-Based Services 2.0: Challenges and Opportunities

Saket Sathe, Roie Melamed, Peter Bak, Shivkumar Kalyanaraman
2014 2014 IEEE 15th International Conference on Mobile Data Management  
We present the challenges and opportunities that LBS . will pose for mobile data management.  ...  Future location-based applications/services will use the data generated by the new mobile devices for providing enhanced user experience. is paper presents a vision of such next-generation location-based  ...  In-memory Processing: Real-time queries require in-memory spatio-temporal data processing.  ... 
doi:10.1109/mdm.2014.45 dblp:conf/mdm/SatheMBK14 fatcat:23via46c2zb65ixrrb7lznqqrm

Compression of uncertain trajectories in road networks

Tianyi Li, Ruikai Huang, Lu Chen, Christian S. Jensen, Torben Bach Pedersen
2020 Proceedings of the VLDB Endowment  
This state of affairs renders it is attractive to be able to compress uncertain trajectories and to be able to query the trajectories efficiently without the need for (full) decompression.  ...  In particular, a new compression scheme for temporal information is presented to take into account variations in sample intervals.  ...  We integrate these contributions into a novel framework that compresses uncertain trajectories and supports efficient query processing without the need for (full) decompression.  ... 
doi:10.14778/3384345.3384353 fatcat:2j3iewdblrdm3axo6mxbdxfv7u

Storage Efficient Trajectory Clustering and k-NN for Robust Privacy Preserving Spatio-Temporal Databases

Elias Dritsas, Andreas Kanavos, Maria Trigka, Spyros Sioutas, Athanasios Tsakalidis
2019 Algorithms  
To alleviate this issue, we propose an efficient framework for trajectories representation, entitled DUST (DUal-based Spatio-temporal Trajectory), by which a raw trajectory is split into a number of linear  ...  As a result, massive trajectory data are produced, incurring expensive costs for storage, transmission, as well as query processing.  ...  Acknowledgments: The authors gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved both content and presentation.  ... 
doi:10.3390/a12120266 fatcat:emisvcofnfdorjwbj76doz4tpu

Mob-Warehouse: A Semantic Approach for Mobility Analysis with a Trajectory Data Warehouse [chapter]

Ricardo Wagner, José Antonio Fernandes de Macedo, Alessandra Raffaetà, Chiara Renso, Alessandro Roncato, Roberto Trasarti
2014 Lecture Notes in Computer Science  
The unit of movement is the (spatio-temporal) point endowed with several semantic dimensions including the activity, the transportation means and the mobility patterns.  ...  In this paper, we introduce Mob-Warehouse, a Trajectory Data Warehouse which goes a step further to the state of the art on mobility analysis since it models trajectories enriched with semantics.  ...  Future works include the development of a more sophisticated ETL process to enrich raw trajectory data with contextual information and the definition of more complex aggregate functions for the measure  ... 
doi:10.1007/978-3-319-14139-8_15 fatcat:ykypeugpzvh4hngidanqtocxhe

Spatio-temporal Based Approaches for Human Action Recognition in Static and Dynamic Background: a Survey

K. Anuradha, N. Sairam
2016 Indian Journal of Science and Technology  
The objective of this review article is to study the spatio-temporal approaches for addressing the key issues such as multi-view, cluttering, jitter and occlusion in recognition of human action.  ...  This approach achieves a recognition rate of 93.18% in KTH dataset and 81.5% in UCF dataset. To handle occlusion, a model was presented with spatial and temporal consistency.  ...  Spatio-temporal volume-based approaches are also referred as holistic representations.  ... 
doi:10.17485/ijst/2016/v9i5/72065 fatcat:5xxufjhhkrhh7gn26rt6qu3yfa

A Hybrid Spatio-Temporal Data Indexing Method for Trajectory Databases

Shengnan Ke, Jun Gong, Songnian Li, Qing Zhu, Xintao Liu, Yeting Zhang
2014 Sensors  
Trajectory data is massively increased and semantically complicated, which poses a great challenge on spatio-temporal data indexing.  ...  Furthermore, a database storage scheme based on a NoSQL-type DBMS is also proposed for the purpose of cloud storage.  ...  Jun Gong is the corresponding author, who contributes to the concept and framework of the spatio-temporal data index.  ... 
doi:10.3390/s140712990 pmid:25051028 pmcid:PMC4168421 fatcat:hzmty7jynzf4nnrnbhckpiyw6m

A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation

Haitao Yuan, Guoliang Li
2021 Data Science and Engineering  
With the development of mobile Internet and position technologies, it is reasonable to collect spatio-temporal data and then leverage these data to achieve the goal of intelligent transportation, and here  ...  At first, we split the whole research scope into four parts from bottom to up, where the four parts are, respectively, spatio-temporal data, preprocessing, traffic prediction and traffic application.  ...  [17] follow and extend the work in [29] and classify the spatio-temporal data into five types: event data, trajectory data, point reference data, raster data and videos.  ... 
doi:10.1007/s41019-020-00151-z fatcat:nnnnxnpo3bgk3l4hpr7kk2n4xa

Multiple Video Instance Detection and Retrieval using Spatio-Temporal Analysis using Semi Supervised SVM Algorithm

R. Kousalya, S. Dharani
2017 International Journal of Computer Applications  
To the present finish, the work to formulate this drawback because the spatio-temporal trajectory search downside, wherever a trajectory may be a sequence of bounding boxes that find the thing instance  ...  During this work, we tend to explore the utilization of spatio-temporal cues to enhance the standard of object instance search from videos.  ...  Spatio-Temporal Querying in Video Databases [7] In this paper a video data model that allows efficient and effective representation and querying of spatio-temporal properties of objects is presented.  ... 
doi:10.5120/ijca2017913495 fatcat:ozzueddgjnbcfhhmp3stikmpjq

Video copy detection

Julien Law-To, Li Chen, Alexis Joly, Ivan Laptev, Olivier Buisson, Valerie Gouet-Brunet, Nozha Boujemaa, Fred Stentiford
2007 Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07  
on spatial, temporal as well as spatio-temporal information.  ...  Different state-of-the-art techniques, using various kinds of descriptors and voting functions, are described: global video descriptors, based on spatial and temporal features; local descriptors based  ...  They have proposed a spatio-temporal fingerprint based on the differential of luminance of partitioned grids in spatial and temporal regions. B.  ... 
doi:10.1145/1282280.1282336 dblp:conf/civr/Law-ToCJLBGBS07 fatcat:nn6cczjofzgjvbqkhlruhpojfy

Continuously Moving Objects Framework to Monitor Result Changes of Spatio Temporal Queries using Data Stream Management System

Brijesh Panday, Vinod Kumar Yadav, Shreya Paul
2008 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
In this paper the concept of safe limit in the framework for continuously moving objects to monitor result changes of spatio temporal queries has been proposed.  ...  In this framework the movement of the moving object is monitored with the help of user defined aggregate function over spatio temporal reference in data stream management system.  ...  A Unified approach based on spatio temporal data type constructor can be used to develop such a framework.  ... 
doi:10.24297/ijct.v7i3.3447 fatcat:latybr5hxjgazjymj3n7zgtaqa

Faster and Smaller Two-Level Index for Network-Based Trajectories [chapter]

Rodrigo Rivera, M. Andrea Rodríguez, Diego Seco
2018 Lecture Notes in Computer Science  
Our experimental evaluation shows that our approach is both faster and smaller than existing solutions.  ...  Two-level indexes have been widely used to handle trajectories of moving objects that are constrained to a network.  ...  Background and Related Work A data structure for trajectories must provide access methods that allow the processing of spatio-temporal queries.  ... 
doi:10.1007/978-3-030-00479-8_28 fatcat:pf7if6azwbg3flt4h3fhjc4ryu
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