دانلود مقاله ISI انگلیسی شماره 43531
عنوان فارسی مقاله

انتخاب آنالیز ویدئویی با استفاده از ارگونومی شناختی: مطالعه موردی برای آزمایش عملیاتی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
43531 2015 8 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
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عنوان انگلیسی
Selecting Video Analytics using Cognitive Ergonomics: A Case Study for Operational Experimentation ☆
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Procedia Manufacturing, Volume 3, 2015, Pages 5245–5252

کلمات کلیدی
اطلاعات ویدئویی - آزمایش های عملیاتی - ارگونومی شناختی
پیش نمایش مقاله
پیش نمایش مقاله انتخاب آنالیز ویدئویی با استفاده از ارگونومی شناختی: مطالعه موردی برای آزمایش عملیاتی

چکیده انگلیسی

The objective of this research is to achieve innovation with a disruptive edge in a human-driven operational environment where layering key information is critical to the customer's current story-boarding solution space. However, new online video data sources present an increasing complexity, with visual cues trapped in hours of video data with no automated means to easily locate and extract key data nuggets. The solution is the introduction of disruptive concepts with an ‘operational experimentation’ focus to mimic the customer's approach. This new method will embrace the larger ‘tell me a story’ perceptive approach to automate the process of building a user defined text story representation based on the accurate discovery / identification of relevant content in the online videos. This paper will cover overall components of the operational experimentation methodology which is part of a long-term (12-24 month) software research and development (R&D) prototyping strategy to operationalize software through a customer driven partnership. This methodology borrows ideas from multiple disciplines including cognitive ergonomics, computer science and industrial engineering. This case study emphasizes the importance of incorporating how humans cognitively process film based stimulation as a ‘story’, to design a system that will assist humans by automating the processing of online social media based video streams and imagery. The significance of this work demonstrates a paradigm shift in how automated video analysis is designed and accomplished through sharing pros and cons of selecting and operationally testing analytics through a series of vignettes. Beginning with an on-line video and concluding with a text based story of that video that is now searchable, understandable, and available to traditional cloud based analytics tailored to an organization's particular needs. This paper will include the results of the customer's experience through the seven stages of the operational experimentation process for Phase 1 of system development.

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