Multimodal Scene Understanding: Algorithms, Applications and Deep Learning - Image 1

£95.68

Academic Press Multimodal Scene Understanding: Algorithms, Applications and Deep Learning

Name: Multimodal Scene Understanding: Algorithms, Applications and Deep Learning
Brand: Academic Press
Price: 95.68 GBP
Availability: InStock

Computer Science

This is the most expensive it has ever been. Walk away.

£96 today · previous high £96 · all-time low £95

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 44 days • 44 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 44 days • 1 price levels

Days at Price

Price Analysis

Most common price: £95 (44 days, 100.0%)

Price range: £95 - £95

Price levels: 1 different prices over 44 days

Description

Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections - for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. Review A unique presentation of multi-sensory data and multi-modal deep learning About the Author He is Assistant Professor with University of Twente (the Netherlands), heading a group working on scene understanding. He received the PhD degree (summa cum laude) from University of Bonn (Germany) in 2011. His research interests are in the fields of computer vision and photogrammetry with specialization on scene understanding, deep learning, UAV vision, and multi-sensor fusion. He published over 90 articles in international journals and conference proceedings. He serves as co-chair of ISPRS working group II/5 Dynamic Scene Analysis, and recipient of the ISPRS President's Honorary Citation (2016) and Best Science Paper Award at BMVC 2016. Since 2016, he is a Senior Member of IEEE. He is regularly serving as program committee member of conferences and reviewer for international journals. His works received several awards, including a DAGM-Prize 2002 , Dr.-Ing. Siegfried Werth Prize 2003, DAGM-Main Prize 2005, IVCNZ best student paper award , DAGM-Main Prize 2007, Olympus-Prize 2007, ICPRAM Best student paper award 2014, ICMC Best student paper award 2014, the WACV 2015 Challenge Award, the Günter Enderle Award (Eurographics) 2017 and the CVPR 2017 Multi-Object Tracking Challenge. In 2011, the European Commission awarded Bodo Rosenhahn with a 1.43 million Euros ERC-Starting Grant and in 2013 with a POC Grant. He published more than 180 research papers, journal articles and book chapters, holds more than 10 patents and edited several books. Full professor at the University of Verona, Italy, and director of the PAVIS (Pattern Analysis and Computer Vision) department at the Istituto Italiano di Tecnologia. He took the Laurea degree in Electronic Engineering in 1989 and a Ph.D. in Electronic Engineering and Computer Science in 1993 at the University of Genova, Italy. His main research interests include: computer vision and pattern recognition/machine learning, in particular, probabilistic techniques for image and video processing, with applications on video surveillance, biomedical image analysis and bioinformatics.

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0128173580
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 17 July 2019
Listed Since: 06 March 2019

Barcode

No barcode data available

Academic Press Multimodal Scene Understanding: Algorithms, Applications and Deep Learning

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Group and Crowd Behavior for Computer Vision (Computer Vision and Pattern Recognition)

Multi-Core Computer Vision and Image Processing for Intelligent Applications (Advances in Computational Intelligence and Robotics)

Digital Media Steganography: Principles, Algorithms, and Advances

Pattern Recognition and Image Analysis: Second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7-9, 2005, Proceeding, Part II: 3523 (Lecture Notes in Computer Science)

Data Analytics and Learning: Proceedings of DAL 2018: 43 (Lecture Notes in Networks and Systems, 43)

Multimedia Analysis, Processing and Communications: 346 (Studies in Computational Intelligence, 346)

Progress in Image Processing, Pattern Recognition and Communication Systems: Proceedings of the Conference (CORES, IP&C, ACS) - June 28-30 2021: 255 (Lecture Notes in Networks and Systems, 255)

Computer Recognition Systems 4: 95 (Advances in Intelligent and Soft Computing, 95)

Recent Advances in 3D Imaging, Modeling, and Reconstruction (Advances in Multimedia and Interactive Technologies)

Springer Smart Technologies in Data Science and Communication

Compressive Sensing of Earth Observations (Signal and Image Processing of Earth Observations)

Computer Vision in Control Systems-4: Real Life Applications: 136 (Intelligent Systems Reference Library, 136)

Digital Image Processing and Analysis: Computer Vision and Image Analysis

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings, Part IV: 7575 (Lecture Notes in Computer Science, 7575)

Advanced Agro-Engineering Technologies for Rural Business Development

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II: 7573 (Lecture Notes in Computer Science, 7573)

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings, Part V: 7576 (Lecture Notes in Computer Science, 7576)

Robot Intelligence Technology and Applications 5: Results from the 5th International Conference on Robot Intelligence Technology and Applications: 751 ... in Intelligent Systems and Computing, 751)

Computational Vision and Bio-Inspired Computing: ICCVBIC 2019: 1108 (Advances in Intelligent Systems and Computing, 1108)

Pattern Recognition, Machine Intelligence and Biometrics

Pattern Recognition and Machine Vision- In Honor and Memory of Late Prof. King-Sun Fu (River Publishers Series in Information Science and Technology)

Springer ROSENET 2018 - Robotic Sensor Networks Conference Book

Handbook of Image Processing and Computer Vision: Volume 3: From Pattern to Object

Data Analytics: Concepts, Techniques, and Applications