The Change-of-Feature Spatio-temporal Object Relational Model and Its implement

2009 ◽  
Author(s):  
Xiaochun Wu ◽  
Yongqi Huang ◽  
Liyan Wang ◽  
Fengyun Mou
Keyword(s):  
Relational Model ◽  
Temporal Object ◽  
Object Relational ◽  
Spatio Temporal

scholarly journals Spatio-temporal Object Detection Proposals

2014 ◽  
pp. 737-752 ◽  
Author(s):  
Dan Oneata ◽  
Jerome Revaud ◽  
Jakob Verbeek ◽  
Cordelia Schmid
Keyword(s):  
Object Detection ◽  
Temporal Object ◽  
Spatio Temporal

3SST Model

2010 ◽  
pp. 1-14
Author(s):  
Andreea Sabau
Keyword(s):  
Data Model ◽  
Conceptual Modeling ◽  
Domain Model ◽  
Relational Model ◽  
Temporal Data ◽  
Spatio Temporal ◽  
Entity Relationship ◽  
Temporal Objects ◽  
Database Platform ◽  
Event Based

In order to represent spatio-temporal data, many conceptual models have been designed and a part of them have been implemented. This chapter describes an approach of the conceptual modeling of spatio-temporal data, called 3SST. Also, the spatio-temporal conceptual and relational data models obtained by following the proposed phases are presented. The 3SST data model is obtained by following three steps: the construction of an entity-relationship spatio-temporal model, the specification of the domain model and the design of a class diagram which includes the objects characteristic to a spatiotemporal application and other needed elements. The relational model of the 3SST conceptual model is the implementation of the conceptual 3SST data model on a relational database platform. Both models are characterized by generality in representing spatial, temporal and spatio-temporal data. The spatial objects can be represented as points or objects with shape and the evolution of the spatio-temporal objects can be implemented as discrete or continuous in time, on time instants or time intervals. More than that, different types of spatial, temporal, spatio-temporal and event-based queries can be performed on represented data. Therefore, the proposed 3SST relational model can be considered the core of a spatio-temporal data model.

A Multidimensional Methodology with Support for Spatio-Temporal Multigranularity in the Conceptual and Logical Phases

2011 ◽  
pp. 194-230 ◽  
Author(s):  
Concepción M. Gascueña ◽  
Rafael Guadalupe
Keyword(s):  
Spatial Data ◽  
Hierarchical Structures ◽  
The Other ◽  
Fe Model ◽  
Multidimensional Databases ◽  
Object Relational ◽  
Spatio Temporal ◽  
The One ◽  
Spatial Semantics ◽  
Thematic Data

The Multidimensional Databases (MDB) are used in the Decision Support Systems (DSS) and in Geographic Information Systems (GIS); the latter locates spatial data on the Earth’s surface and studies its evolution through time. This work presents part of a methodology to design MDB, where it considers the Conceptual and Logical phases, and with related support for multiple spatio-temporal granularities. This will allow us to have multiple representations of the same spatial data, interacting with other, spatial and thematic data. In the Conceptual phase, the conceptual multidimensional model—FactEntity (FE)—is used. In the Logical phase, the rules of transformations are defined, from the FE model, to the Relational and Object Relational logical models, maintaining multidimensional semantics, and under the perspective of multiple spatial, temporal, and thematic granularities. The FE model shows constructors and hierarchical structures to deal with the multidimensional semantics on the one hand, carrying out a study on how to structure “a fact and its associated dimensions.” Thus making up the Basic factEnty, and in addition, showing rules to generate all the possible Virtual factEntities. On the other hand, with the spatial semantics, highlighting the Semantic and Geometric spatial granularities.

Spatio-Temporal Object-Oriented Data Model for Disaggregate Travel Behavior

2002 ◽  
Vol 6 (3) ◽  
pp. 277-294 ◽  
Author(s):  
Ali Frihida ◽  
Danielle J. Marceau ◽  
Marius Theriault
Keyword(s):  
Data Model ◽  
Travel Behavior ◽  
Object Oriented ◽  
Temporal Object ◽  
Spatio Temporal

scholarly journals Motion-Attentive Transition for Zero-Shot Video Object Segmentation

2020 ◽  
Vol 34 (07) ◽  
pp. 13066-13073 ◽  
Author(s):  
Tianfei Zhou ◽  
Shunzhou Wang ◽  
Yi Zhou ◽  
Yazhou Yao ◽  
Jianwu Li ◽  
...  
Keyword(s):  
Object Representation ◽  
Object Segmentation ◽  
Object Motion ◽  
Video Object Segmentation ◽  
Video Object ◽  
The Arts ◽  
Temporal Object ◽  
Multi Level ◽  
Transition Network ◽  
Spatio Temporal

In this paper, we present a novel Motion-Attentive Transition Network (MATNet) for zero-shot video object segmentation, which provides a new way of leveraging motion information to reinforce spatio-temporal object representation. An asymmetric attention block, called Motion-Attentive Transition (MAT), is designed within a two-stream encoder, which transforms appearance features into motion-attentive representations at each convolutional stage. In this way, the encoder becomes deeply interleaved, allowing for closely hierarchical interactions between object motion and appearance. This is superior to the typical two-stream architecture, which treats motion and appearance separately in each stream and often suffers from overfitting to appearance information. Additionally, a bridge network is proposed to obtain a compact, discriminative and scale-sensitive representation for multi-level encoder features, which is further fed into a decoder to achieve segmentation results. Extensive experiments on three challenging public benchmarks (i.e., DAVIS-16, FBMS and Youtube-Objects) show that our model achieves compelling performance against the state-of-the-arts. Code is available at: https://github.com/tfzhou/MATNet.

scholarly journals Relational model for storing ecologico-biological expedition data

2021 ◽  
pp. 98-106
Author(s):  
A.M. Lyakh ◽  
◽  
I.V. Agarkova-Lyakh ◽  
Keyword(s):  
Information System ◽  
Spatial Location ◽  
Geographic Information ◽  
Water Bodies ◽  
Relational Model ◽  
Main Emphasis ◽  
Temporal Location ◽  
Spatio Temporal ◽  
Support Work

Eco-biological expedition research involves the collection of biotic and abiotic material (samples), which is attached to spatio-temporal location. Researchers often use the geographical name of the place instead of the geographical coordinates to indicate the spatial location of a sample. For this reason, an expedition information system must support work with geographical names. The article describes the structure of the expedition database, where the main emphasis is made on geographical names. A method of presenting the official and unofficial names of land and water bodies in a single table is proposed. This way of presenting geographic information makes working with the information system more people-friendly.

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