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Advanced Image and Video Processing Using MATLAB [electronic resource] / by Shengrong Gong, Chunping Liu, Yi Ji, Baojiang Zhong, Yonggang Li, Husheng Dong.

By: Gong, Shengrong [author.].
Contributor(s): Liu, Chunping [author.] | Ji, Yi [author.] | Zhong, Baojiang [author.] | Li, Yonggang [author.] | Dong, Husheng [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Modeling and Optimization in Science and Technologies: 12Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XVIII, 590 p. 181 illus., 79 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319772233.Subject(s): Signal processing | Image processing—Digital techniques | Computer vision | Mathematics—Data processing | Signal, Speech and Image Processing | Computer Imaging, Vision, Pattern Recognition and Graphics | Computational Science and EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction and Overview -- Matlab Functions of Image and Video -- Image and Video Segmentation -- Feature Extraction and Representation -- Common Evaluation Criterion -- Image Correction -- Image Inpainting -- Fusions -- Image Stitching -- Image Watermarking.
In: Springer Nature eBookSummary: 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.
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Introduction and Overview -- Matlab Functions of Image and Video -- Image and Video Segmentation -- Feature Extraction and Representation -- Common Evaluation Criterion -- Image Correction -- Image Inpainting -- Fusions -- Image Stitching -- Image Watermarking.

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.

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