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Advanced Image and Video Processing Using MATLAB (Modeling and Optimization in

Description: This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition,  facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.

Price: 165 AUD

Location: Hillsdale, NSW

End Time: 2025-02-05T03:33:10.000Z

Shipping Cost: 31.24 AUD

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Advanced Image and Video Processing Using MATLAB (Modeling and Optimization inAdvanced Image and Video Processing Using MATLAB (Modeling and Optimization inAdvanced Image and Video Processing Using MATLAB (Modeling and Optimization inAdvanced Image and Video Processing Using MATLAB (Modeling and Optimization inAdvanced Image and Video Processing Using MATLAB (Modeling and Optimization in

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EAN: 9783319772219

UPC: 9783319772219

ISBN: 9783319772219

MPN: N/A

Recommended Age Range: 0-12 months

Book Title: Advanced Image and Video Processing Using MATLAB (

Item Length: 23.4 cm

Number of Pages: 590 Pages

Language: English

Publication Name: Advanced Image and Video Processing Using Matlab

Publisher: Springer International Publishing Ag

Publication Year: 2018

Subject: Engineering & Technology, Computer Science, Mathematics

Item Height: 235 mm

Item Weight: 1069 g

Type: Textbook

Author: Yi Ji, Yonggang Li, Husheng Dong, Baojiang Zhong, Chunping Liu, Shengrong Gong

Item Width: 155 mm

Format: Hardcover

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