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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Vision And Scene Understanding (I.2.10)  
 
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  1-10 of 148 Reviews about "Vision And Scene Understanding (I.2.10)": Date Reviewed
  Automated annotations for AI data and model transparency
Thirumuruganathan S., Kunjir M., Ouzzani M., Chawla S. Journal of Data and Information Quality 14(1): 1-9, 2022.  Type: Article

Individuals, organizations, and signals from automatic devices produce enormous amounts of heterogenous data. Data lakes for storage needs are suffice. Beyond storing, the quick deployment of enterprise private data also requires fast analysis. Bu...

Mar 1 2023
  Photoplethysmogram-based cognitive load assessment using multi-feature fusion model
Zhang X., Lyu Y., Qu T., Qiu P., Luo X., Zhang J., Fan S., Shi Y. ACM Transactions on Applied Perception 16(4): 1-17, 2019.  Type: Article

Physiological measures of cognitive load have become more accessible with advancements in neuro-imaging devices and wearable technology, and provide quantifiable data that previous measurement tools (for example, surveys) could not. As...

Oct 8 2021
   Computational texture and patterns: from textons to deep learning
Dana K., Morgan&Claypool Publishers, San Rafael, CA, 2018. 113 pp.  Type: Book (978-1-681730-11-0)

This slim volume considers the question of representing and matching textures and similar patterns. This question is closely related to recognition--for example, recognizing that something is a picture of a leafless tree&#...

Aug 16 2019
  Computer vision for driver assistance: simultaneous traffic and driver monitoring
Rezaei M., Klette R., Springer International Publishing, New York, NY, 2017. 224 pp.  Type: Book (978-3-319505-49-7)

This new book by Rezaei and Klette is the first of its kind, as it puts computer vision techniques in the context of advanced driving assistance systems (ADAS)....

Dec 15 2017
  Evolutionary computer vision: the first footprints
Olague G., Springer International Publishing, New York, NY, 2016. 411 pp.  Type: Book (978-3-662436-92-9)

Olague is not a newcomer to the fusion field of evolutionary computation and computer vision. He has published research articles on the nexus of these fields over the last two decades. Having personally taught courses on the individual...

Jun 21 2017
  Local image descriptor: modern approaches
Fan B., Wang Z., Wu F., Springer International Publishing, New York, NY, 2016. 99 pp.  Type: Book (978-3-662491-71-3)

Classic local descriptors for computer vision applications are typically based on scale-invariant feature transform (SIFT) or speeded up robust features (SURF) technologies. SIFT was introduced by David Lowe [1] as an algorithm to desc...

Oct 14 2016
  Handbook of pattern recognition and computer vision
Chen C., World Scientific Publishing Co, Inc., River Edge, NJ, 2016. 560 pp.  Type: Book, Reviews: (2 of 2)

Pattern recognition and computer vision are the most popular and powerful applications in modern computing industries. They have found wide ranges of applications such as biometrics, biomedical signal classification, industrial automat...

May 23 2016
  Computer vision and image processing in intelligent systems and multimedia technologies
Sarfraz M., IGI Global, Hershey, PA, 2014. 312 pp.  Type: Book (978-1-466660-30-4)

Organized by domain or topic--such as healthcare, fruit and produce visual analysis, face recognition, web content analysis, digital watermarking, or planar object analysis, among others--the book comprises 16 chapter...

Apr 21 2016
  Handbook of pattern recognition and computer vision
Chen C., World Scientific Publishing Co, Inc., River Edge, NJ, 2016. 560 pp.  Type: Book, Reviews: (1 of 2)

Pattern recognition and computer vision have very broad applications, and technologies in the field are evolving rapidly. It is great that the editor brought this book up to date in the 5th edition with the latest developments in the f...

Mar 10 2016
  Sensor-based Bayesian detection of anomalous living patterns in a home setting
Ordóñez F., de Toledo P., Sanchis A. Personal and Ubiquitous Computing 19(2): 259-270, 2015.  Type: Article

The aging of the baby boomers, the rise of the Internet of Things (IoT), and skyrocketing medical costs have all converged to expand the market for remote health monitoring. There’s a tremendous push to enhance elder care esp...

Jun 1 2015
 
 
 
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