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Advanced image and video processing using MATLAB / Book / Shengrong Gong, Chunping Liu, Yi Ji, Baojiang Zhong, Yonggang Li, Husheng Dong.

By: Contributor(s): Material type: TextTextSeries: Modeling and optimization in science and technologies ; v. 12.Description: xvii, 590 pages : Color illustrations ; 24 cmISBN:
  • 9783319772219 (hardback)
  • 9783319772233 (eBook)
Subject(s): DDC classification:
  • 621.367 23
Other classification:
  • 621.367
Summary: This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers detraining, 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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad Ground Floor 621.367 GON-A 61249 (Browse shelf(Opens below)) Available 10001000061249
Total holds: 0

This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers detraining, 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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