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Image Retrieval within Augmented Reality

Die vorliegende Arbeit untersucht das Potenzial von Augmented Reality zur Verbesserung von Image Retrieval Prozessen. Herausforderungen in Design und Gebrauchstauglichkeit wurden für beide Forschungsbereiche dargelegt und genutzt, um Designziele für Konzepte zu entwerfen. Eine Taxonomie für Image Retrieval in Augmented Reality wurde basierend auf der Forschungsarbeit entworfen und eingesetzt, um verwandte Arbeiten und generelle Ideen für Interaktionsmöglichkeiten zu strukturieren. Basierend auf der Taxonomie wurden Anwendungsszenarien als weitere Anforderungen für Konzepte formuliert. Mit Hilfe der generellen Ideen und Anforderungen wurden zwei umfassende Konzepte für Image Retrieval in Augmented Reality ausgearbeitet. Eins der Konzepte wurde auf einer Microsoft HoloLens umgesetzt und in einer Nutzerstudie evaluiert. Die Studie zeigt, dass das Konzept grundsätzlich positiv aufgenommen wurde und bietet Erkenntnisse über unterschiedliches Verhalten im Raum und verschiedene Suchstrategien bei der Durchführung von Image Retrieval in der erweiterten Realität.:1 Introduction
1.1 Motivation and Problem Statement
1.1.1 Augmented Reality and Head-Mounted Displays
1.1.2 Image Retrieval
1.1.3 Image Retrieval within Augmented Reality
1.2 Thesis Structure

2 Foundations of Image Retrieval and Augmented Reality
2.1 Foundations of Image Retrieval
2.1.1 Definition of Image Retrieval
2.1.2 Classification of Image Retrieval Systems
2.1.3 Design and Usability in Image Retrieval
2.2 Foundations of Augmented Reality
2.2.1 Definition of Augmented Reality
2.2.2 Augmented Reality Design and Usability
2.3 Taxonomy for Image Retrieval within Augmented Reality
2.3.1 Session Parameters
2.3.2 Interaction Process
2.3.3 Summary of the Taxonomy

3 Concepts for Image Retrieval within Augmented Reality
3.1 Related Work
3.1.1 Natural Query Specification
3.1.2 Situated Result Visualization
3.1.3 3D Result Interaction
3.1.4 Summary of Related Work
3.2 Basic Interaction Concepts for Image Retrieval in Augmented Reality
3.2.1 Natural Query Specification
3.2.2 Situated Result Visualization
3.2.3 3D Result Interaction
3.3 Requirements for Comprehensive Concepts
3.3.1 Design Goals
3.3.2 Application Scenarios
3.4 Comprehensive Concepts
3.4.1 Tangible Query Workbench
3.4.2 Situated Photograph Queries
3.4.3 Conformance of Concept Requirements

4 Prototypic Implementation of Situated Photograph Queries
4.1 Implementation Design
4.1.1 Implementation Process
4.1.2 Structure of the Implementation
4.2 Developer and User Manual
4.2.1 Setup of the Prototype
4.2.2 Usage of the Prototype
4.3 Discussion of the Prototype

5 Evaluation of Prototype and Concept by User Study
5.1 Design of the User Study
5.1.1 Usability Testing
5.1.2 Questionnaire
5.2 Results
5.2.1 Logging of User Behavior
5.2.2 Rating through Likert Scales
5.2.3 Free Text Answers and Remarks during the Study
5.2.4 Observations during the Study
5.2.5 Discussion of Results

6 Conclusion
6.1 Summary of the Present Work
6.2 Outlook on Further Work / The present work investigates the potential of augmented reality for improving the image retrieval process. Design and usability challenges were identified for both fields of research in order to formulate design goals for the development of concepts. A taxonomy for image retrieval within augmented reality was elaborated based on research work and used to structure related work and basic ideas for interaction. Based on the taxonomy, application scenarios were formulated as further requirements for concepts. Using the basic interaction ideas and the requirements, two comprehensive concepts for image retrieval within augmented reality were elaborated. One of the concepts was implemented using a Microsoft HoloLens and evaluated in a user study. The study showed that the concept was rated generally positive by the users and provided insight in different spatial behavior and search strategies when practicing image retrieval in augmented reality.:1 Introduction
1.1 Motivation and Problem Statement
1.1.1 Augmented Reality and Head-Mounted Displays
1.1.2 Image Retrieval
1.1.3 Image Retrieval within Augmented Reality
1.2 Thesis Structure

2 Foundations of Image Retrieval and Augmented Reality
2.1 Foundations of Image Retrieval
2.1.1 Definition of Image Retrieval
2.1.2 Classification of Image Retrieval Systems
2.1.3 Design and Usability in Image Retrieval
2.2 Foundations of Augmented Reality
2.2.1 Definition of Augmented Reality
2.2.2 Augmented Reality Design and Usability
2.3 Taxonomy for Image Retrieval within Augmented Reality
2.3.1 Session Parameters
2.3.2 Interaction Process
2.3.3 Summary of the Taxonomy

3 Concepts for Image Retrieval within Augmented Reality
3.1 Related Work
3.1.1 Natural Query Specification
3.1.2 Situated Result Visualization
3.1.3 3D Result Interaction
3.1.4 Summary of Related Work
3.2 Basic Interaction Concepts for Image Retrieval in Augmented Reality
3.2.1 Natural Query Specification
3.2.2 Situated Result Visualization
3.2.3 3D Result Interaction
3.3 Requirements for Comprehensive Concepts
3.3.1 Design Goals
3.3.2 Application Scenarios
3.4 Comprehensive Concepts
3.4.1 Tangible Query Workbench
3.4.2 Situated Photograph Queries
3.4.3 Conformance of Concept Requirements

4 Prototypic Implementation of Situated Photograph Queries
4.1 Implementation Design
4.1.1 Implementation Process
4.1.2 Structure of the Implementation
4.2 Developer and User Manual
4.2.1 Setup of the Prototype
4.2.2 Usage of the Prototype
4.3 Discussion of the Prototype

5 Evaluation of Prototype and Concept by User Study
5.1 Design of the User Study
5.1.1 Usability Testing
5.1.2 Questionnaire
5.2 Results
5.2.1 Logging of User Behavior
5.2.2 Rating through Likert Scales
5.2.3 Free Text Answers and Remarks during the Study
5.2.4 Observations during the Study
5.2.5 Discussion of Results

6 Conclusion
6.1 Summary of the Present Work
6.2 Outlook on Further Work

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:30595
Date24 May 2017
CreatorsManja, Philip
ContributorsBüschel, Wolfgang, Mitschick, Annett, Dachselt, Raimund, Technische Universität Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:masterThesis, info:eu-repo/semantics/masterThesis, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess

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