Format:
1 Online-Ressource (xi, 157 Seiten)
Edition:
Electronic reproduction Available via World Wide Web
ISBN:
9781608450985
Series Statement:
Synthesis lectures on information concepts, retrieval, and services #10
Content:
Includes bibliographical references
Content:
At its very core multimedia information retrieval means the process of searching for and finding multimedia documents; the corresponding research field is concerned with building the best possible multimedia search engines.The intriguing bit here is that the query itself can be amultimedia excerpt: For example,when you walk around in an unknown place and stumble across an interesting landmark, would it not be great if you could just take a picture with your mobile phone and send it to a service that finds a similar picture in a database and tells you more about the building - and about its significance for that matter?
Content:
This book goes further by examining the full matrix of a variety of query modes versus document types. How do you retrieve a music piece by humming? What if you want to find news video clips on forest fires using a still image? The text discusses underlying techniques and common approaches to facilitate multimedia search engines from metadata driven retrieval, via piggy-back text retrieval where automated processes create text surrogates for multimedia, automated image annotation and content-based retrieval. The latter is studied in great depth looking at features and distances, and how to effectively combine them for efficient retrieval, to a point where the readers have the ingredients and recipe in their hands for building their own multimedia search engines
Content:
Preface -- 1. What is multimedia information retrieval? : 1.1. Information retrieval; 1.2. Multimedia; 1.3. Multimedia information retrieval; 1.4. Challenges of automated multimedia indexing; 1.5. Summary; 1.6. Exercises -- 2. Basic multimedia search technologies: 2.1. Metadata driven retrieval; 2.2. Piggy-back text retrieval; 2.3. Content-based retrieval; 2.4. Automated image annotation; 2.5. Fingerprinting; 2.6. Exercises -- 3. Content-based retrieval in depth: 3.1. Content-based retrieval architecture; 3.2. Features; 3.3. Distances; 3.4. Feature and distance standardisation ;3.5. High-dimensional indexing; 3.6. Fusion of feature spaces and query results; 3.7. Exercises -- 4. Added services: 4.1. Video summaries; 4.2. Paradigms in information visualization; 4.3. Visual search and relevance feedback; 4.4. Browsing; 4.5. Geo-temporal aspects of media; 4.6. Exercises -- 5. Multimedia information retrieval research: 5.1. Multimedia representation and management; 5.2. Digital libraries; 5.3. Metadata and automated annotation; 5.4. User needs and evaluation; 5.5. Multimedia search and mining systems; 5.6. Browsing and presentation; 5.7. Imagination is the only limit; 5.8. Exercises -- 6. Summary -- Bibliography -- Author's biography
Note:
Description based upon print version of record
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Preface; What is Multimedia Information Retrieval?; Information Retrieval; Multimedia; Multimedia Information Retrieval; Challenges of Automated Multimedia Indexing; Summary; Exercises; Memex; Loops and Interaction; Automated vs Manual; Compound Text Queries; Search Types; Basic Multimedia Search Technologies; Metadata Driven Retrieval; Piggy-back Text Retrieval; Content-based Retrieval; Automated Image Annotation; Fingerprinting; Audio Fingerprinting; Image Fingerprinting; Exercises; Search Types Continued; Intensity Histograms; Fingerprint Block Probabilities
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Fingerprint Block False PositivesShazam's Constellation Pairs; One Pass Algorithm for Min Hash; Content-based Retrieval in Depth; Content-based Retrieval Architecture; Features; Colour Histograms; Statistical Moments; Texture Histograms; Shape; Spatial Information; Other Feature Types; Distances; Geometric Component-wise Distances; Geometric Quadratic Distances; Statistical Distances; Probabilistic Distance Measures; Ordinal and Nominal Distances; String-based Distances; Feature and Distance Standardisation; Component-wise Standardisation using Corpus Statistics; Range Standardisation
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Ratio FeaturesVector Normalisation; High-dimensional Indexing; Fusion of Feature Spaces and Query Results; Single Query Example with Multiple Features; Multiple Query Examples; Order of Fusion; Exercises; Colour Histograms; HSV Colour Space Quantisation; CIE LUV Colour Space Quantisation; Skewness and Kurtosis; Boundaries for Tamura Features; Distances and Dissimilarities; Ordinal Distances -- - Pen-pal Matching; Asymmetric Binary Features; Jaccard Distance; Levenshtein Distance; Co-occurrence Dissimilarity; Chain Codes and Edit Distance; Time Warping Distance; Feature Standardisation
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Curse of DimensionalityImage Search; Added Services; Video Summaries; Paradigms in Information Visualisation; Visual Search and Relevance Feedback; Browsing; Geo-temporal Aspects of Media; Importance of Geography as Context; Geo-temporal Browsing and Access; Exercises; Interface Design and Functionality; Shot Boundary Detection for Gradual Transitions; Relevance Feedback: Optimal Weight Computation; Relevance Feedback: Lagrangian Multiplier; Geographic Attributes; View of the World -- - Retrieval and Context; Multimedia Information Retrieval Research; Multimedia Representation and Management
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GATEAXMEDIS; NM2; 3DTV; VISNET II; X-Media; MediaCampaign; SALERO; LUISA; SEMEDIA; Digital Libraries; Greenstone; Informedia; SCULPTEUR; CHLT; DELOS; BRICKS; StoryBank; Metadata and Automated Annotation; aceMedia; LAVA; KerMIT; POLYMNIA; User Needs and Evaluation; Adapt; VIRAMI; INEX XML Multimedia Track; TRECVid; ImageCLEF; GeoCLEF; MIREX; Multimedia Search and Mining Systems; PHAROS; VITALAS; TRIPOD; Browsing and Presentation; üBase; SPIRIT; mSpace; Imagination is the Only Limit; Exercises; Search Types Continued; Overview Diagram of Projects; Summary; Bibliography; Author's Biography;
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Preface -- 1. What is multimedia information retrieval? : 1.1. Information retrieval; 1.2. Multimedia; 1.3. Multimedia information retrieval; 1.4. Challenges of automated multimedia indexing; 1.5. Summary; 1.6. Exercises -- 2. Basic multimedia search technologies: 2.1. Metadata driven retrieval; 2.2. Piggy-back text retrieval; 2.3. Content-based retrieval; 2.4. Automated image annotation; 2.5. Fingerprinting; 2.6. Exercises -- 3. Content-based retrieval in depth: 3.1. Content-based retrieval architecture; 3.2. Features; 3.3. Distances; 3.4. Feature and distance standardisation ;3.5. High-dimensional indexing; 3.6. Fusion of feature spaces and query results; 3.7. Exercises -- 4. Added services: 4.1. Video summaries; 4.2. Paradigms in information visualization; 4.3. Visual search and relevance feedback; 4.4. Browsing; 4.5. Geo-temporal aspects of media; 4.6. Exercises -- 5. Multimedia information retrieval research: 5.1. Multimedia representation and management; 5.2. Digital libraries; 5.3. Metadata and automated annotation; 5.4. User needs and evaluation; 5.5. Multimedia search and mining systems; 5.6. Browsing and presentation; 5.7. Imagination is the only limit; 5.8. Exercises -- 6. Summary -- Bibliography -- Author's biography.
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Electronic reproduction Available via World Wide Web
,
System requirements: Adobe Acrobat reader.
,
Mode of access: World Wide Web.
Additional Edition:
ISBN 9781608450978
Additional Edition:
Erscheint auch als Druck-Ausgabe Multimedia Information Retrieval
Language:
English
Subjects:
Computer Science
Keywords:
Multimedia
;
Information Retrieval
;
Electronic books
DOI:
10.2200/S00244ED1V01Y200912ICR010
Author information:
Rüger, Stefan M.
