Video Data Analytics for Smart City Applications: Methods and Trends
Saved in:
| Title: | Video Data Analytics for Smart City Applications: Methods and Trends |
|---|---|
| Description: | Video data analytics is rapidly evolving and transforming the way we live in urban environments. In Video Data Analytics for Smart City Applications: Methods and Trends, data science experts present a comprehensive review of the latest advances and trends in video analytics technologies and their extensive applications in smart city planning and engineering. The book covers a wide range of topics including object recognition, action recognition, violence detection, and tracking, exploring deep learning approaches and other techniques for video data analytics. It also discusses the key enabling technologies for smart cities and homes and the scope and application of smart agriculture in smart cities. Moreover, the book addresses the challenges and security issues in terahertz band for wireless communication and the empirical impact of AI and IoT on performance management. One contribution also provides a review of the progress in achieving the Jal Jeevan Mission Goals for institutional capacity building in the Indian State of Chhattisgarh. For researchers, computer scientists, data analytics professionals, smart city planners and engineers, this book provides detailed references for further reading and demonstrates how technologies are serving their use-cases in the smart city. The book highlights the advances and trends in video analytics technologies and extensively addresses key themes, making it an essential resource for anyone looking to gain a comprehensive understanding of video data analytics for smart city applications. |
| Authors: | Abhishek, Singh Rathore, Surendra, Rahamatkar, Syed, Imran Ali, Ramgopal, Kashyap, Nand, Kishore Sharma |
| Resource Type: | eBook. |
| Subjects: | Big data, Internet of things, Machine learning |
| Categories: | COMPUTERS / Data Science / Data Analytics |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 3599077 RelevancyScore: 1116 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 1116.28857421875 |
| IllustrationInfo | |
| ImageInfo | – Size: thumb Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3599077$PDF&s=r – Size: medium Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$3599077$PDF&s=d |
| Items | – Name: Title Label: Title Group: Ti Data: Video Data Analytics for Smart City Applications: Methods and Trends – Name: Abstract Label: Description Group: Ab Data: Video data analytics is rapidly evolving and transforming the way we live in urban environments. In Video Data Analytics for Smart City Applications: Methods and Trends, data science experts present a comprehensive review of the latest advances and trends in video analytics technologies and their extensive applications in smart city planning and engineering. The book covers a wide range of topics including object recognition, action recognition, violence detection, and tracking, exploring deep learning approaches and other techniques for video data analytics. It also discusses the key enabling technologies for smart cities and homes and the scope and application of smart agriculture in smart cities. Moreover, the book addresses the challenges and security issues in terahertz band for wireless communication and the empirical impact of AI and IoT on performance management. One contribution also provides a review of the progress in achieving the Jal Jeevan Mission Goals for institutional capacity building in the Indian State of Chhattisgarh. For researchers, computer scientists, data analytics professionals, smart city planners and engineers, this book provides detailed references for further reading and demonstrates how technologies are serving their use-cases in the smart city. The book highlights the advances and trends in video analytics technologies and extensively addresses key themes, making it an essential resource for anyone looking to gain a comprehensive understanding of video data analytics for smart city applications. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Abhishek%2C+Singh+Rathore%22">Abhishek, Singh Rathore</searchLink><br /><searchLink fieldCode="AR" term="%22Surendra%2C+Rahamatkar%22">Surendra, Rahamatkar</searchLink><br /><searchLink fieldCode="AR" term="%22Syed%2C+Imran+Ali%22">Syed, Imran Ali</searchLink><br /><searchLink fieldCode="AR" term="%22Ramgopal%2C+Kashyap%22">Ramgopal, Kashyap</searchLink><br /><searchLink fieldCode="AR" term="%22Nand%2C+Kishore+Sharma%22">Nand, Kishore Sharma</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=3599077 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 005.7 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Big data Type: general – SubjectFull: Internet of things Type: general – SubjectFull: Machine learning Type: general Titles: – TitleFull: Video Data Analytics for Smart City Applications: Methods and Trends Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abhishek, Singh Rathore – PersonEntity: Name: NameFull: Surendra, Rahamatkar – PersonEntity: Name: NameFull: Syed, Imran Ali – PersonEntity: Name: NameFull: Ramgopal, Kashyap – PersonEntity: Name: NameFull: Nand, Kishore Sharma – PersonEntity: Name: NameFull: Abhishek, Singh Rathore – PersonEntity: Name: NameFull: Surendra, Rahamatkar – PersonEntity: Name: NameFull: Syed, Imran Ali – PersonEntity: Name: NameFull: Ramgopal, Kashyap – PersonEntity: Name: NameFull: Nand, Kishore Sharma IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 03 M: 02 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9789815123715 – Type: isbn-electronic Value: 9789815123708 Numbering: – Type: volume Value: 00001 Titles: – TitleFull: Video Data Analytics for Smart City Applications: Methods and Trends Type: main |
| ResultId | 1 |