Learning Based Local Visual Representation and Indexing

Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques. Discusses state-of-the-art procedures in learning-based local visual representation. Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system Provides insight into how machine learning techniques can be leveraged to refine the visual recognition system, especially in the part of visual feature representation.

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  • Author : Rongrong Ji
  • Publisher : Morgan Kaufmann
  • Pages : 128 pages
  • ISBN : 0128026200
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKLearning Based Local Visual Representation and Indexing

Learning-Based Local Visual Representation and Indexing

Learning-Based Local Visual Representation and Indexing
  • Author : Rongrong Ji,Yue Gao,Ling-Yu Duan,Hongxun Yao,Qionghai Dai
  • Publisher : Morgan Kaufmann
  • Release : 08 April 2015
GET THIS BOOKLearning-Based Local Visual Representation and Indexing

Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques. Discusses state-of-the-art procedures in learning-based local visual representation. Shows how to master the basic techniques needed for building a large-scale visual search engine and indexing system Provides insight into how machine learning techniques can be leveraged to refine

Image and Video Retrieval

Image and Video Retrieval
  • Author : Erwin M. Bakker,CIVR,Ill.) Civr 200 (2003 Urbana-Champaign
  • Publisher : Springer Science & Business Media
  • Release : 11 July 2003
GET THIS BOOKImage and Video Retrieval

Welcome to the 2nd International Conference on Image and Video Retrieval, CIVR2003. The goal of CIVR is to illuminate the state of the art in visual information retrieval and to stimulate collaboration between researchers and practitioners. This year we received 110 submissions from 26 countries. Based upon the reviews of at least 3 members of the program committee, 43 papers were accepted for the research track of the conference. First, we would like to thank all of the members of the Program Committee and

Encyclopedia of Multimedia

Encyclopedia of Multimedia
  • Author : Borko Furht
  • Publisher : Springer Science & Business Media
  • Release : 26 November 2008
GET THIS BOOKEncyclopedia of Multimedia

This second edition provides easy access to important concepts, issues and technology trends in the field of multimedia technologies, systems, techniques, and applications. Over 1,100 heavily-illustrated pages — including 80 new entries — present concise overviews of all aspects of software, systems, web tools and hardware that enable video, audio and developing media to be shared and delivered electronically.

Deep Learning for Image Processing Applications

Deep Learning for Image Processing Applications
  • Author : D.J. Hemanth,V. Vieira Estrela
  • Publisher : IOS Press
  • Release : 01 December 2017
GET THIS BOOKDeep Learning for Image Processing Applications

Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to

Sparse Representation, Modeling and Learning in Visual Recognition

Sparse Representation, Modeling and Learning in Visual Recognition
  • Author : Hong Cheng
  • Publisher : Springer
  • Release : 25 May 2015
GET THIS BOOKSparse Representation, Modeling and Learning in Visual Recognition

This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. The book examines both the theoretical foundations and details of algorithm implementation, highlighting the practical application of compressed sensing research in visual recognition and computer vision. Topics and features: describes sparse recovery approaches, robust and efficient sparse representation, and large-scale visual recognition; covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers; discusses low-rank matrix approximation,

Visual Quality Assessment by Machine Learning

Visual Quality Assessment by Machine Learning
  • Author : Long Xu,Weisi Lin,C.-C. Jay Kuo
  • Publisher : Springer
  • Release : 09 May 2015
GET THIS BOOKVisual Quality Assessment by Machine Learning

The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general

Content-Based Image Retrieval

Content-Based Image Retrieval
  • Author : Vipin Tyagi
  • Publisher : Springer
  • Release : 15 January 2018
GET THIS BOOKContent-Based Image Retrieval

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image

Machine Vision Inspection Systems, Machine Learning-Based Approaches

Machine Vision Inspection Systems, Machine Learning-Based Approaches
  • Author : Muthukumaran Malarvel,Soumya Ranjan Nayak,Prasant Kumar Pattnaik,Surya Narayan Panda
  • Publisher : John Wiley & Sons
  • Release : 14 January 2021
GET THIS BOOKMachine Vision Inspection Systems, Machine Learning-Based Approaches

Machine Vision Inspection Systems (MVIS) is a multidisciplinary research field that emphasizes image processing, machine vision and, pattern recognition for industrial applications. Inspection techniques are generally used in destructive and non-destructive evaluation industry. Now a day's the current research on machine inspection gained more popularity among various researchers, because the manual assessment of the inspection may fail and turn into false assessment due to a large number of examining while inspection process. This volume 2 covers machine learning-based approaches in MVIS

PRICAI 2004: Trends in Artificial Intelligence

PRICAI 2004: Trends in Artificial Intelligence
  • Author : Chengqi Zhang,Hans W. Guesgen,Wai K. Yeap
  • Publisher : Springer
  • Release : 21 September 2004
GET THIS BOOKPRICAI 2004: Trends in Artificial Intelligence

The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is a biennial international event which focuses on Artificial Intelligence (AI) theories and technologies, and their applications which are of social and economic importance for countries in the Pacific Rim region. Seven earlier conferences were held in: Nagoya, Japan (1990); Seoul, Korea (1992); Beijing, China (1994); Cairns, Australia (1996); Singapore (1998); Melbourne, Australia (2000); and Tokyo, Japan (2002). PRICAI 2004 was the eigth in the series and was held in Auckland, New Zealand in August 2004. PRICAI 2004 had attracted a

ImageCLEF

ImageCLEF
  • Author : Henning Müller,Paul Clough,Thomas Deselaers,Barbara Caputo
  • Publisher : Springer Science & Business Media
  • Release : 20 August 2010
GET THIS BOOKImageCLEF

The pervasive creation and consumption of content, especially visual content, is ingrained into our modern world. We’re constantly consuming visual media content, in printed form and in digital form, in work and in leisure pursuits. Like our cave– man forefathers, we use pictures to record things which are of importance to us as memory cues for the future, but nowadays we also use pictures and images to document processes; we use them in engineering, in art, in science, in

Artificial Intelligence and Computational Intelligence

Artificial Intelligence and Computational Intelligence
  • Author : Jingsheng Lei,Fu Lee Wang,Hepu Deng,Duoqian Miao
  • Publisher : Springer
  • Release : 28 September 2012
GET THIS BOOKArtificial Intelligence and Computational Intelligence

This volume proceedings contains revised selected papers from the 4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012, held in Chengdu, China, in October 2012. The total of 163 high-quality papers presented were carefully reviewed and selected from 724 submissions. The papers are organized into topical sections on applications of artificial intelligence, applications of computational intelligence, data mining and knowledge discovery, evolution strategy, expert and decision support systems, fuzzy computation, information security, intelligent control, intelligent image processing, intelligent information fusion, intelligent signal

Semantic-Based Visual Information Retrieval

Semantic-Based Visual Information Retrieval
  • Author : Zhang, Yu-Jin
  • Publisher : IGI Global
  • Release : 30 November 2006
GET THIS BOOKSemantic-Based Visual Information Retrieval

"This book presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and more"--Provided by publisher.

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis
  • Author : Francisco J. Perales López,Aurélio J.C. Campilho,Nicolás Pérez de la Blanca Capilla,Alberto Sanfeliu i Cortés
  • Publisher : Springer
  • Release : 02 October 2003
GET THIS BOOKPattern Recognition and Image Analysis

The refereed proceedings of the First Iberial Conference on Pattern Recognition and Image Analysis, IbPria 2003, held in Puerto de Andratx, Mallorca, Spain in June 2003. The 130 revised papers presented were carefully reviewed and selected from 185 full papers submitted. All current aspects of ongoing research in computer vision, image processing, pattern recognition, and speech recognition are addressed.

Encyclopedia of Image Processing

Encyclopedia of Image Processing
  • Author : Phillip A. Laplante
  • Publisher : CRC Press
  • Release : 08 November 2018
GET THIS BOOKEncyclopedia of Image Processing

The Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from

Machine Learning Techniques for Multimedia

Machine Learning Techniques for Multimedia
  • Author : Matthieu Cord,Pádraig Cunningham
  • Publisher : Springer Science & Business Media
  • Release : 07 February 2008
GET THIS BOOKMachine Learning Techniques for Multimedia

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.