Описание: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing Vol. II
Автор: Y. T. Chan Название: Wavelet Basics ISBN: 1461359295 ISBN-13(EAN): 9781461359296 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 2 introduces the wavelet transform, contrasts it with the short-time Fourier transform and clarifies the names of the different types of wavelet transforms.
Автор: De-Shuang Huang; Martin McGinnity; Laurent Heutte; Название: Advanced Intelligent Computing. Theories and Applications ISBN: 3642148301 ISBN-13(EAN): 9783642148309 Издательство: Springer Рейтинг: Цена: 17468.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intel- gence, machine learning, pattern recognition, image processing, bioinformatics, and computational biology.
Описание: Wavelet and subband transforms have been of great interest in the fields of - gineering and applied mathematics. This book, comprised of eleven chapter contributions from prominent researchers in the field, focuses on communications and mul- media applications of wavelet and subband transforms.
Описание: A key element of any modern video codec is the efficient exploitation of temporal redundancy via motion-compensated prediction. In this book, a novel paradigm of representing and employing motion information in a video compression system is described that has several advantages over existing approaches. Traditionally, motion is estimated, modelled, and coded as a vector field at the target frame it predicts. While this “prediction-centric” approach is convenient, the fact that the motion is “attached” to a specific target frame implies that it cannot easily be re-purposed to predict or synthesize other frames, which severely hampers temporal scalability. In light of this, the present book explores the possibility of anchoring motion at reference frames instead. Key to the success of the proposed “reference-based” anchoring schemes is high quality motion inference, which is enabled by the use of a more “physical” motion representation than the traditionally employed “block” motion fields. The resulting compression system can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. Furthermore, “features” beyond compressibility — including high scalability, accessibility, and “intrinsic” framerate upsampling — can be seamlessly supported. These features are becoming ever more relevant as the way video is consumed continues shifting from the traditional broadcast scenario to interactive browsing of video content over heterogeneous networks.This book is of interest to researchers and professionals working in multimedia signal processing, in particular those who are interested in next-generation video compression. Two comprehensive background chapters on scalable video compression and temporal frame interpolation make the book accessible for students and newcomers to the field.
Описание: This thesis explores the motion anchoring strategies, which represent a fundamental change to the way motion is employed in a video compression system-from a "prediction-centric" point of view to a "physical" representation of the underlying motion of the scene.
Автор: Pankaj N. Topiwala Название: Wavelet Image and Video Compression ISBN: 1475782640 ISBN-13(EAN): 9781475782646 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An exciting new development has taken place in the digital era that has captured the imagination and talent of researchers around the globe - wavelet image compression. Part II, Still Image Coding, presents a spectrum of wavelet still image coding techniques.
Автор: Shukla KK Название: Efficient Algorithms for Discrete Wavelet Transform ISBN: 1447149408 ISBN-13(EAN): 9781447149408 Издательство: Springer Рейтинг: Цена: 5589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has received considerable attention in signal/image processing. In the multistage DWT, coefficients are calculated recursively, and in addition to the wavelet decomposition stage, extra space is required to store the intermediate coefficients.
Автор: De-Shuang Huang; Kyungsook Han Название: Advanced Intelligent Computing Theories and Applications ISBN: 3319220527 ISBN-13(EAN): 9783319220529 Издательство: Springer Рейтинг: Цена: 13416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book - in conjunction with the double volume LNCS 9225-9226 - constitutes the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015.
Автор: Kumar N. Suresh, Sangaiah Arun Kumar, Arun M. Название: Advanced Image Processing Techniques and Applications ISBN: 1522520538 ISBN-13(EAN): 9781522520535 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 42273.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.The Handbook of Research on Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.
Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.
Описание: Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. This title provides a review of techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.
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