Image Analytics: A Consolidation of Visual Feature Extraction Methods

Xiaohui Liu, Yijing Li, Fei Liu, Eric T.K. Lim, Chee-Wee Tan

Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningpeer review

Abstrakt

Revolutionary advances in computer vision and deep learning have dramatically expanded our opportunities to decipher the merits of images in the business world. Though prior research on computer vision has yielded a myriad of approaches to extract core attributes from images, the esotericism of the advocated techniques hinders scholars from delving into the role of visuals in driving business performance. Consequently, this tutorial aims to consolidate resources of visual features’ extraction tactics that employ both conventional machine learning and deep learning models. We describe resources and techniques based on three visual feature extraction methods, namely calculation-, recognition-, and simulation-based method. Additionally, practical examples are provided to illustrate how image features can be accessed via python and open sourced packages such as OpenCV and TensorFlow.
OriginalsprogEngelsk
TitelProceedings of the Eightieth Annual Meeting of the Academy of Management
RedaktørerGuclu Atinc
Antal sider1
UdgivelsesstedBriarcliff Manor, NY
ForlagAcademy of Management
Publikationsdato2020
DOI
StatusUdgivet - 2020
BegivenhedThe Academy of Management Annual Meeting 2020: Broadening Our Sight - Virtual
Varighed: 7 aug. 202011 aug. 2020
Konferencens nummer: 80
https://aom.org/events/annual-meeting/past-annual-meetings/2020-broadening-our-sight

Konference

KonferenceThe Academy of Management Annual Meeting 2020
Nummer80
LokationVirtual
Periode07/08/202011/08/2020
Internetadresse
NavnAcademy of Management Proceedings
ISSN0065-0668

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