Large-Scale Visual Geo-Localization

Large-Scale Visual Geo-Localization PDF Author: Amir R. Zamir
Publisher: Springer
ISBN: 3319257811
Category : Computers
Languages : en
Pages : 353

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Book Description
This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales; investigates geo-localization techniques that are built upon high-level and semantic cues; describes methods that perform precise localization by geometrically aligning the query image against a 3D model; reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings.

Large-Scale Visual Geo-Localization

Large-Scale Visual Geo-Localization PDF Author: Amir R. Zamir
Publisher: Springer
ISBN: 3319257811
Category : Computers
Languages : en
Pages : 353

Get Book Here

Book Description
This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales; investigates geo-localization techniques that are built upon high-level and semantic cues; describes methods that perform precise localization by geometrically aligning the query image against a 3D model; reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings.

Computer Vision – ECCV 2018

Computer Vision – ECCV 2018 PDF Author: Vittorio Ferrari
Publisher: Springer
ISBN: 3030012581
Category : Computers
Languages : en
Pages : 809

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Book Description
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Artificial Neural Networks and Machine Learning – ICANN 2024

Artificial Neural Networks and Machine Learning – ICANN 2024 PDF Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723384
Category :
Languages : en
Pages : 483

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Book Description


Event Analytics across Languages and Communities

Event Analytics across Languages and Communities PDF Author: Ivana Marenzi
Publisher: Springer Nature
ISBN: 3031644514
Category :
Languages : en
Pages : 267

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Book Description


Robot Intelligence Technology and Applications 8

Robot Intelligence Technology and Applications 8 PDF Author: Anwar P.P. Abdul Majeed
Publisher: Springer Nature
ISBN: 3031706846
Category :
Languages : en
Pages : 368

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Book Description


Computer Vision – ECCV 2012

Computer Vision – ECCV 2012 PDF Author: Andrew Fitzgibbon
Publisher: Springer
ISBN: 3642337090
Category : Computers
Languages : en
Pages : 909

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Book Description
The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

Advances in Information Retrieval

Advances in Information Retrieval PDF Author: Jaap Kamps
Publisher: Springer Nature
ISBN: 3031282388
Category : Computers
Languages : en
Pages : 735

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Book Description
The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, 12 reproducibility papers consortium papers, 7 tutorial papers, and 10 doctorial consortium papers were carefully reviewed and selected from 489 submissions. The book also contains, 8 workshop summaries and 13 CLEF Lab descriptions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search.

Computer Vision – ECCV 2022

Computer Vision – ECCV 2022 PDF Author: Shai Avidan
Publisher: Springer Nature
ISBN: 3031200470
Category : Computers
Languages : en
Pages : 828

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Book Description
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Multimodal Location Estimation of Videos and Images

Multimodal Location Estimation of Videos and Images PDF Author: Jaeyoung Choi
Publisher: Springer
ISBN: 3319098616
Category : Technology & Engineering
Languages : en
Pages : 199

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Book Description
This book presents an overview of the field of multimodal location estimation. The authors' aim is to describe the research results in this field in a unified way. The book describes fundamental methods of acoustic, visual, textual, social graph, and metadata processing as well as multimodal integration methods used for location estimation. In addition, the book covers benchmark metrics and explores the limits of the technology based on a human baseline. The book also outlines privacy implications and discusses directions for future research in the area.

Geographic Knowledge Graph Summarization

Geographic Knowledge Graph Summarization PDF Author: B. Yan
Publisher: IOS Press
ISBN: 1614999899
Category : Computers
Languages : en
Pages : 170

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Book Description
Geographic knowledge graphs can have an important role in delivering interoperability, accessibility and the demands of conceptualization in geographic information science (GIS). However, the massive amount of accompanying information and the enormous diversity of geographic knowledge graphs limits their applicability and hinders the widespread adoption of this useful structured knowledge. This book, Geographic Knowledge Graph Summarization, focuses on the ways in which geographic knowledge graphs can be digested and summarized. Such a summarization would relieve the burden of information overload for end users and reduce data storage, as well as speeding up queries and eliminating ‘noise’. The book introduces the general concept of geospatial inductive bias and explains the different ways in which this idea can be used in the summarization of geographic knowledge graphs. The book breaks up the task of summarization into separate but related components, and after an introduction and a brief overview of concepts and theories, Chapters 3, 4 and 5 explore hierarchical place type structure, multimedia leaf nodes, and general relation and entity components respectively. Chapter 6 presents a spatial knowledge map interface which illustrates the effectiveness of summarization. The book integrates top-down knowledge engineering and bottom-up knowledge learning methods, and will do much to promote awareness of this fascinating area and related issues.