scholarly journals Dondero, Maria Giulia. 2020. Les langages de l’image. De la peinture aux Big Visual Data (Paris : Hermann)

2020 ◽  
Author(s):  
Enzo D’Armenio
Keyword(s):  
Visual Data ◽  
Big Visual Data

Content-based image retrieval for big visual data using image quality assessment model

2016 ◽  
Vol 5 (1) ◽  
pp. 45-51 ◽  
Author(s):  
Baisakhi Sur Phadikar ◽  
Subro S. Thakur ◽  
Goutam Kumar Maity ◽  
Amit Phadikar
Keyword(s):  
Image Quality ◽  
Image Retrieval ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Assessment Model ◽  
Content Based Image Retrieval ◽  
Visual Data ◽  
Big Visual Data

Sustainable management of construction site big visual data

2018 ◽  
Vol 13 (5) ◽  
pp. 1311-1322 ◽  
Author(s):  
Andrej Tibaut ◽  
Damjan Zazula
Keyword(s):  
Sustainable Management ◽  
Construction Site ◽  
Visual Data ◽  
Big Visual Data

scholarly journals A Study on Potential of Big Visual Data Analytics in Construction Arena

2018 ◽  
Vol 7 (2.7) ◽  
pp. 652 ◽  
Author(s):  
Mandava Geetha Bhargava ◽  
P Vidyullatha ◽  
P Venkateswara Rao ◽  
V Sucharita
Keyword(s):  
Laser Scanning ◽  
Performance Monitoring ◽  
Infrastructure Management ◽  
Task Management ◽  
Visual Data ◽  
Construction Sites ◽  
Building Information Model ◽  
Big Visual Data ◽  
Building Information ◽  
Visual Data Analytics

In most construction and Infrastructure management projects, it is important to ensure and maintain the performance, safety as well as quality in the work to execute the construction in expected period , for monitoring the above parameters i.e. Performance, Safety, Quality and as well as Security, requires data to analyze, determine and test the algorithms, due to eternal increase amount of captured data thorough modern improvements in  technology i.e. devices, camera equipped vehicles, Sensors, etc. accommodates an innovative scope to capture present status of construction sites at a less cost analogized to more alternative techniques such as laser scanning technique. Vast endeavours on documenting as-built status, nevertheless, stay at retrieving the visual data and updating Building Information Model (BIM). Hundreds of images and videos are captured but most of the data becomes scrap without proper localize with plan document and time. To take full benefits of visual data for construction status analytics where performance analytics is also included in it, three aspects (reliable, relevance and speed) of capturing, analysing and reporting visual data are captious and tracking development in construction sites needs two direction communication between field crew and management so that performances and changes issues related to task management, completion and outlook can be convey effectively. This paper deals with the investigation of current techniques for influence with help of arising BIM and big data in performance monitoring at construction from reliable, relevance and speed. 

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