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Video watermarking using motion compensated 2D+t+2D filtering

Deepayan Bhowmik, Charith Abhayaratne
2010 Proceedings of the 12th ACM workshop on Multimedia and security - MM&Sec '10  
Motion compensated temporal filtering (MCTF) provides a better framework for video watermarking by accounting object motion.  ...  The proposed 2D+t+2D framework with the modified MCTF-based watermarking shows better embedding distortion in terms of both mean square error and flicker metric for various combinations of spatial-temporal  ...  VIDEO WATERMARKING IN 2D+t+2D SPATIO-TEMPORAL DECOMPOSITION We propose a new video watermarking scheme by extending the wavelet based image watermarking algorithms into 2D+t+2D framework.  ... 
doi:10.1145/1854229.1854254 dblp:conf/mmsec/BhowmikA10 fatcat:st3giovrqnhsramhsgef57ce7u

A Spatio-Temporal Approach to Individual Mobility Modeling in On-Device Cognitive Computing Platforms

Rafael Pérez-Torres, César Torres-Huitzil, Hiram Galeana-Zapién
2019 Sensors  
as a spatio-temporal phenomenon.  ...  In this paper, we propose a novel approach that uses mobility-based services for on-device and individual-centered mobility understanding.  ...  In [23] , Kang et al. proposed a method suitable for mobile devices to calculate POIs in an on-line manner, based on spatio-temporal differences between individual location fixes.  ... 
doi:10.3390/s19183949 fatcat:32llvl447zbzfagirql7kd4xoq

Novel multi-feature Bag-of-Words descriptor via subspace random projection for efficient human-action recognition

Ana I. Maqueda, Arturo Ruano, Carlos R. del-Blanco, Pablo Carballeira, Fernando Jaureguizar, Narciso Garcia
2015 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
In this paper, a learning framework for human-action recognition that follows the previous strategy is presented. First, spatio-temporal features are detected.  ...  Lastly, the reduced feature vectors are delivered to a classifier called Citation K-Nearest Neighborhood, especially adapted to Multiple-Instance Learning frameworks.  ...  The rest of the paper is structured as follows. Section 2 summarizes the recent work in human activity recognition, in particular, those based on local spatio-temporal features.  ... 
doi:10.1109/avss.2015.7301736 dblp:conf/avss/MaquedaRdCJG15 fatcat:wktjnixqszffrfh24n5he3y6ze

Video Coding with Spatio-Temporal Texture Synthesis

Chunbo Zhu, Xiaoyan Sun, Feng Wu, Houqiang Li
2007 Multimedia and Expo, 2007 IEEE International Conference on  
We propose spatio-temporal patch-searching in texture synthesis at the decoder to recover the removed regions. Our approach is not content based and is flexible and generic to be implemented.  ...  This paper presents a video coding scheme in which some texture regions are selectively removed at the encoder and recovered by synthesis at the decoder.  ...  CONCLUDING REMARKS We present a video coding scheme based on spatio-temporal texture synthesis.  ... 
doi:10.1109/icme.2007.4284599 dblp:conf/icmcs/ZhuSWL07 fatcat:7wpgeuffyzf7tdnfqlw7tjfnl4

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 list and discussions on problems that use TDW and forward directions for the works in this field are the primary goals of this survey.  ...  A General Framework for Trajectory Data Warehousing and Visual OLAP D | A A formal framework for modelling a trajectory data warehouse Fileto et al. [32] 2015 The Baquara2 Knowledge-Based Framework  ... 
doi:10.3390/ijgi9020088 fatcat:bgpfxcx5jngd7cjcj6u4fl4jpi

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  ...  A number of algorithms for compressing trajectory data have been proposed in order to overcome these difficulties.  ...  Authors in [12] suggested a novel spatio-temporal Mysql ReTrieval framework based on the MySQL and PostgreSQL database management system.  ... 
doi:10.3390/a12120266 fatcat:emisvcofnfdorjwbj76doz4tpu

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  
In particular, a new compression scheme for temporal information is presented to take into account variations in sample intervals.  ...  First, we propose a reference selection algorithm based on the notion of Fine-grained Jaccard Distance to efficiently select trajectory instances as references.  ...  [44] construct a reference trajectory set and represent a raw trajectory as a concatenation of a series reference trajectories within a given spatio-temporal deviation threshold.  ... 
doi:10.14778/3384345.3384353 fatcat:2j3iewdblrdm3axo6mxbdxfv7u

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  
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  ...  We present the challenges and opportunities that LBS . will pose for mobile data management.  ...  ., "Trajectory Clustering: A partition-and-group framework, " in SIGMOD, , pp. -. [ ] M.  ... 
doi:10.1109/mdm.2014.45 dblp:conf/mdm/SatheMBK14 fatcat:23via46c2zb65ixrrb7lznqqrm

Segmentation techniques for the summarization of individual mobility data

Maria Luisa Damiani, Fatima Hachem
2017 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
Segmentation techniques partition a sequence of data points in a series of disjoint sub-sequences -segments -based on some criteria.  ...  Such information can then be given a compact representation in the form of summarized trajectories, e.g., semantic trajectories, symbolic trajectories.  ...  In more rigorous terms, given a reference space S, e.g. the Euclidean plane, a spatial trajectory T of length n is a sequence of n spatio-temporal points, i.e.  ... 
doi:10.1002/widm.1214 fatcat:4jgua5vjangzdjgvkli7zxzk4a

Progressive Dictionary Learning With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding

Wenrui Dai, Yangmei Shen, Hongkai Xiong, Xiaoqian Jiang, Junni Zou, David Taubman
2017 IEEE Transactions on Image Processing  
For pyramidal layers, sparse representation based on spatio-temporal dictionary is adopted to improve the coding efficiency of enhancement layers with a guarantee of reconstruction performance.  ...  In comparison to MCTF, it enables flexible reference structures with restricted propagation of errors and improved compression efficiency in the context of block-based motion [24] .  ...  The rest of this paper is organized as follows. Section III presents the proposed framework for scalable video coding with spatio-temporal dictionary learning.  ... 
doi:10.1109/tip.2017.2692882 pmid:28422683 pmcid:PMC5638692 fatcat:yrf6mgcpojezvjhmiuvmvqklne

Semantic trajectories

Zhixian Yan, Dipanjan Chakraborty, Christine Parent, Stefano Spaccapietra, Karl Aberer
2013 ACM Transactions on Intelligent Systems and Technology  
Such data are typically modeled as streams of spatio-temporal (x,y,t) points, called trajectories.  ...  The core contribution of this paper lies in a Semantic Model and a Computation and Annotation Platform for developing a semantic approach that progressively transforms the raw mobility data into semantic  ...  Conceptual Model The term conceptual model refers to the logical partitioning of a spatio-temporal trajectory T spa into a series of non-overlapping episodes.  ... 
doi:10.1145/2483669.2483682 fatcat:ppv7g6kihjattjmf7g6nb3txxy

High-Accuracy Total Variation With Application to Compressed Video Sensing

Mahdi S. Hosseini, Konstantinos N. Plataniotis
2014 IEEE Transactions on Image Processing  
We adopt this design to regulate the spatial and temporal redundancy in compressed video sensing problem to jointly recover frames from under-sampled measurements.  ...  A numerical encoding scheme is designed to extend the TV model into multidimensional representation (tensorial decomposition).  ...  Stephan Becker for helpful suggestions to revise and improve TFOCS total variation toolbox to 3D problem. The modified toolbox will be available online from TFOCS webpage.  ... 
doi:10.1109/tip.2014.2332755 pmid:24988593 fatcat:iq5lleo3bnemfennbnitbu6n3e

Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events [chapter]

G. A. Vouros, A. Vlachou, G. Santipantakis, C. Doulkeridis, N. Pelekis, H. Georgiou, Y. Theodoridis, K. Patroumpas, E. Alevizos, A. Artikis, G. Fuchs, M. Mock (+6 others)
2018 Lecture Notes in Computer Science  
Our work addresses explicitly proximity and spatio-temporal relations in both archival and streaming data sources.  ...  To this end, spatio-temporal link discovery is performed that discovers relations between surveillance data and archival data (e.g., weather, contextual data), resulting in enriched trajectories.  ... 
doi:10.1007/978-3-319-90053-7_13 fatcat:mwpj6jpozfdmxmtbde3t3qqknq

Motion estimated and compensated compressed sensing dynamic magnetic resonance imaging: What we can learn from video compression techniques

Hong Jung, Jong Chul Ye
2010 International journal of imaging systems and technology (Print)  
Compressed sensing has become an extensive research area in MR community because of the opportunity for unprecedented high spatio-temporal resolution reconstruction.  ...  Because dynamic magnetic resonance imaging (MRI) usually has huge redundancy along temporal direction, compressed sensing theory can be effectively used for this application.  ...  Jaeseok Park at Yonsei University Medical center for providing us in vivo data.  ... 
doi:10.1002/ima.20231 fatcat:6cih7e6kpjgmpk3ypal25yskju

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

Brijesh Panday, Vinod Kumar Yadav, Shreya Paul
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
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