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  Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > Applications (I.5.4) > Computer Vision (I.5.4...)  
  1-10 of 80 Reviews about "Computer Vision (I.5.4...)": Date Reviewed
  Multimodal scene understanding
Ying Yang M., Rosenhahn B., Murino V., ACADEMIC PRESS, London, UK, 2019. 412 pp.  Type: Book (978-0-128173-58-9)

This edited book on multimodal scene understanding focuses on algorithms, applications, and deep learning. The topic of multimodal scene understanding is related to computer vision. The book’s 12 chapters are by several autho...

Aug 3 2021
  Collaborative intelligent cross-camera video analytics at edge: opportunities and challenges
Pasandi H., Nadeem T.  AIChallengeIoT 2019 (Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, New York, NY, Nov 10-13, 2019) 15-18, 2019.  Type: Proceedings

Monitoring cameras are now deployed on many city corners. When things happen, law enforcement units or other agencies can search the video feed from those cameras, either in real time or afterwards. The current approach is to send all ...

Feb 19 2021
  A survey on deep neural network-based image captioning
Liu X., Xu Q., Wang N. The Visual Computer 35(3): 445-470, 2019.  Type: Article, Reviews: (2 of 2)

Image captioning is an intriguing problem in the field of computer vision: given an input image, come up with suitable concise text that verbalizes that image well. This is currently a hot topic in the context of image understanding, a...

Jun 29 2020
  Human activity recognition and behaviour analysis: for cyber-physical systems in smart environments
Chen L., Nugent C., Springer International Publishing, New York, NY, 2019. 255 pp.  Type: Book (978-3-030194-07-9)

As the Internet of Things (IoT) and similar technologies become more pervasive, it is important to consider how they might be used, not just to sell more stuff because your fridge says you’re out of milk and such-and-such a s...

Nov 20 2019
  Computer vision: principles, algorithms, applications, learning (5th ed.)
Davies E., ACADEMIC PRESS, San Diego, CA, 2018. 900 pp.  Type: Book (978-0-128092-84-2)

It is rare to get a book that you don’t want to put down, but also one you can’t keep holding. At almost 900 pages, this is not a book that anyone can hold in hand and read for long; however, it so exhaustively cove...

Aug 27 2019
  Contactless 3D fingerprint identification
Kumar A., Springer International Publishing, New York, NY, 2018. 123 pp.  Type: Book (978-3-319676-80-7)

I am interested in machine learning (ML)-based image classification. Thus, I thought this book may be an interesting read about how ML techniques are applied to fingerprinting. As it turns out, the book is not about ML, but just plain ...

Aug 13 2019
   A survey on deep neural network-based image captioning
Liu X., Xu Q., Wang N. The Visual Computer 35(3): 445-470, 2019.  Type: Article, Reviews: (1 of 2)

Automated image captioning is the task of generating a useful and accurate description of an image without manual input. An ideal system, when shown an image, generates a summary such as “the mailman is running from a large, ...

Jul 19 2019
  UCF’s 30-year REU site in computer vision
Lobo N., Shah M. Communications of the ACM 62(1): 31-34, 2019.  Type: Article

The article describes the University of Central Florida’s (UCF’s) history and position within the Research Experiences for Undergraduates (REUs) program. REUs are research programs in the US for undergraduates study...

Apr 12 2019
  Being recognized everywhere
Kugler L. Communications of the ACM 62(2): 17-19, 2019.  Type: Article

Over the past few years, Communications of the ACM has published a number of short articles related to various aspects of artificial intelligence (AI). This particular article concerns the effect that voice and facial recognitio...

Apr 11 2019
   Deep learning for computer vision with Python
Rosebrock A.,, 2018.  Type: Book

Internet resources for learning artificial intelligence (AI), especially regarding the subtopic of machine learning (ML), are expanding rapidly. Two resources, presented as online books, are the subject of this review. Both resources o...

Mar 12 2019
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