Visual Geo-localization and Location-aware Image Understanding PDF Download

Author: Amir Roshan Zamir
Publisher:
ISBN:
Category :
Languages : en
Pages : 143

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Book Description
Geo-localization is the problem of discovering the location where an image or video was captured. Recently, large scale geo-localization methods which are devised for ground-level imagery and employ techniques similar to image matching have attracted much interest. In these methods, given a reference dataset composed of geo-tagged images, the problem is to estimate the geo-location of a query by finding its matching reference images. In this dissertation, we address three questions central to geo-spatial analysis of ground-level imagery: 1) How to geo-localize images and videos captured at unknown locations? 2) How to refine the geo-location of already geo-tagged data? 3) How to utilize the extracted geo-tags? We present a new framework for geo-locating an image utilizing a novel multiple nearest neighbor feature matching method using Generalized Minimum Clique Graphs (GMCP). First, we extract local features (e.g., SIFT) from the query image and retrieve a number of nearest neighbors for each query feature from the reference data set. Next, we apply our GMCP-based feature matching to select a single nearest neighbor for each query feature such that all matches are globally consistent. Our approach to feature matching is based on the proposition that the first nearest neighbors are not necessarily the best choices for finding correspondences in image matching. Therefore, the proposed method considers multiple reference nearest neighbors as potential matches and selects the correct ones by enforcing the consistency among their global features (e.g., GIST) using GMCP. Our evaluations using a new data set of 102k Street View images shows the proposed method outperforms the state-of-the-art by 10 percent.

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.

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.

Author: David Fleet
Publisher: Springer
ISBN: 331910599X
Category : Computers
Languages : en
Pages : 855

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Book Description
The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Author: Sijie Zhu
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Cross-view image geo-localization aims to determine the locations of street-view query images by searching in a GPS-tagged reference image database from aerial view. One fundamental challenge is the dramatic view-point/domain difference between the street-view query images and aerial-view reference images. Recent works have made great progress on bridging the domain gap with advanced deep learning techniques and geometric prior knowledge, i.e. the query is aligned at the center of one aerial-view reference image (spatial alignment) and the orientation relationship between the two views is known (orientation alignment). However, such prior knowledge of the geometry correspondence of the two views is usually not available for real-world scenarios. In this dissertation, we first explore how current model would perform in real-world scenarios, where the spatial or orientation alignment is not available and geometric prior knowledge (e.g. polar transform) does not work well. For spatial alignment, we collect a new dataset with real-world protocol for this scenario and propose a better solution, as the first to explore multiple reference correspondence and GPS offset prediction beyond image-level retrieval. For orientation alignment, we demonstrate better metric learning techniques for this scenario and propose to estimate the orientation without explicit supervision. Then we propose a novel visual explanation method as well as the first quantitative analysis of visual explanation of deep metric learning to gain deeper understanding about the model with improved orientation estimation. Finally, we propose the first pure transformer-based method which does not rely on geometric prior knowledge (polar transform) and generalizes well on real-world scenarios w/o orientation or spatial alignment. We also provide quantitative measurement on computational cost to show that our model is more efficient than previous methods. In summary, we push cross-view image geo-localization toward real-world application with more realistic settings, higher accuracy, lower computational cost and better understanding/interpretation.

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.

Author: Gérard Cliquet
Publisher: John Wiley & Sons
ISBN: 1119721253
Category : Business & Economics
Languages : en
Pages : 260

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Book Description
Location-based Marketing outlines the main concepts, methods and strategies for implementing spatial marketing, also known as geomarketing. With an emphasis on the value of mapping in marketing decision-making, this book demonstrates the importance of a more spatialized view of these decisions, in order to best respond to market realities – whether local or international. The main techniques of geomarketing are presented along with an understanding of the spatial behavior of consumers, both outside the point of sale and in stores. The book further introduces the idea of a "geomarketing mix", which spatializes product innovations, merchandising, pricing and various aspects of promotion. Finally, the book defines what real georetailing comprises and develops the concept of mobile marketing based on geolocation techniques.

Author: Lei Wang
Publisher: Springer Nature
ISBN: 3031263197
Category : Computers
Languages : en
Pages : 687

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Book Description
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods.

Author: P Kaliraj
Publisher: CRC Press
ISBN: 1000504239
Category : Computers
Languages : en
Pages : 209

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Book Description
Augmented Reality (AR) has many advantages that include increased engagement and interaction as well as enhanced innovation and responsiveness. AR technology has applications in almost all domains such as medical training, retail, repair and maintenance of complex equipment, interior design in architecture and construction, business logistics, tourism, and classroom education. Innovating with Augmented Reality: Applications in Education and Industry explains the concepts behind AR, explores some of its application areas, and gives an in-depth look at how this technology aligns with Education 4.0. Due to the rapid advancements in technology, future education systems must prepare students to work with the latest technologies by enabling them to learn virtually in augmented ways in varied platforms. By providing an illusion of physical objects, which takes the students to a new world of imagination, AR and Virtual Reality (VR) create virtual and interactive environments for better learning and understanding. AR applications in education are covered in four chapters of this book, including a chapter on how gamification can be made use of in the teaching and learning process. The book also covers other application areas of AR and VR. One such application area is the food and beverage industry with case studies on virtual 3D food, employee training, product–customer interaction, restaurant entertainment, restaurant tours, and product packaging. The application of AR in the healthcare sector, medical education, and related devices and software are examined in the book’s final chapter. The book also provides an overview of the game development software, Unity, a real-time development platform for 2D and 3D AR and VR, as well as the software tools and techniques used in developing AR-based apps.

Author: Zheng, Robert Z.
Publisher: IGI Global
ISBN: 1799802515
Category : Education
Languages : en
Pages : 371

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Book Description
Multiple intelligences (MI) as a cognitive psychology theory has significantly influenced learning and teaching. Research has demonstrated a strong association between individual intelligences and their cognitive processes and behaviors. However, it remains unknown how each of or a combination of these intelligences can be effectively optimized through instructional intervention, particularly through the use of emerging learning technology. On the other hand, while efforts have been made to unveil the relationship between information and communication technology (ICT) and individual learner performance, there is a lack of knowledge in how MI theory may guide the use of ICTs to enhance learning opportunities for students. Examining Multiple Intelligences and Digital Technologies for Enhanced Learning Opportunities is an essential reference book that generates new knowledge about how ICTs can be utilized to promote MI in various formal and informal learning settings. Featuring a range of topics such as augmented reality, learning analytics, and mobile learning, this book is ideal for teachers, instructional designers, curriculum developers, ICT specialists, educational professionals, administrators, instructors, academicians, and researchers.