Conferences related to Indexing

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2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)

The 11th International Content Based Multimedia Indexing Workshop is to bring together the various communities involved in all aspects of content-based multimedia indexing, retrieval, browsing and presentation.The conference will host invited keynote talks and regular, special and demo sessions with contributed research papers.

  • 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)

    10th International CBMI Workshop aims at bringing together the various communities involved in all aspects of content-based multimedia indexing, retrieval, browsing and presentation. The scientific program of CBMI 2012 will include invited keynote talks and regular, special and demo sessions with contributed research papers.

  • 2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)

    CBMI 2011 aims at bringing together the various communities involved in the different aspects of content-based multimedia indexing, retrieval, browsing and presentation.

  • 2010 International Workshop on Content-Based Multimedia Indexing (CBMI)

    CBMI 2010 aims at bringing together the various communities involved in the different aspects of Content-Based Multimedia Indexing. submissions include, but are not limited to multimedia indexing and retrieval, matching and similarity search,construction of high level indices, multimedia content extraction, dentification and tracking of semantic regions in scenes, ...

  • 2009 International Workshop on Content-Based Multimedia Indexing (CBMI)

    CBMI 2009 aims at bringing together the research communities involved in the different aspects of content-based multimedia indexing, such as image analysis, computer vision, pattern recognition and information retrieval with current industrial trends and developments.

  • 2008 International Workshop on Content-Based Multimedia Indexing (CBMI)

    CBMI is the main international forum for the presentation and discussion of the latest technological advances, industrial needs and product developments in multimedia indexing, search, retrieval, navigation and browsing.

  • 2007 International Workshop on Content-Based Multimedia Indexing (CBMI)

    Multimedia indexing and retrieval (image, audio, video, text), Multimedia content extraction, Matching and similarity research, Construction of high level indices, Multi-modal and cross-modal indexing, Content-based search techniques, Multimedia data mining, Presentation tools, Meta-data compression and tranformation, Handling of very large scale multimedia database, Organization, summarization and browsing of multimedia documents, Applications, Evaluation and metrics


2013 IEEE Aerospace Conference

The international IEEE Aerospace Conference is organized to promote interdisciplinary understanding of aerospace systems, their underlying science and technology, and their applications to government and commercial endeavors. The annual, weeklong conference, set in a stimulating and thought -provoking environment, is designed for aerospace experts, academics, military personnel, and industry leaders.

  • 2012 IEEE Aerospace Conference

    The international IEEE Aerospace Conference is organized to promote interdisciplinary understanding of aerospace systems, their underlying science and technology, and their applications to government and commercial endeavors. The annual, weeklong conference, set in a stimulating and thought-provoking environment, is designed for aerospace experts, academics, military personnel, and industry leaders.

  • 2011 IEEE Aerospace Conference

    The international IEEE Aerospace Conference is organized to promote interdisciplinary understanding of aerospace systems, their underlying science and technology, and their applications to government and commercial endeavors.

  • 2010 IEEE Aerospace Conference

    The international IEEE Aerospace Conference is organized to promote interdisciplinary understanding of aerospace systems, their underlying science and technology, and their applications to government and commercial endeavors.

  • 2009 IEEE Aerospace Conference

    The international IEEE Aerospace Conference promotes interdisciplinary understanding of aerospace systems, their underlying science and technology, and their applications to government and commercial endeavors. It is an annual, week-long conference designed for aerospace experts, academics, military personnel, and industry leaders and is set in a stimulating, thought-provoking environment.

  • 2008 IEEE Aerospace Conference

    The international IEEE Aerospace Conference is organized to promote interdisciplinary understanding of aerospace systems, their underlying science and technology, and their applications to government and commercial endeavors. It is an annual, week-long conference designed for aerospace experts, academics, military personnel, and industry leaders and is set in a stimulating and thought-provoking environment.

  • 2007 IEEE Aerospace Conference


2012 19th International Conference on High Performance Computing (HiPC)

HiPC is an international meeting on high performance computing. It serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the high performance computing area. The meeting focuses on all aspects of high performance computing systems and their scientific, engineering, and commercial applications.


2012 20th Signal Processing and Communications Applications Conference (SIU)

Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2011 19th Signal Processing and Communications Applications Conference (SIU)

    Conference will bring together academia and industry professionals as well as students and researchers to present and discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. The Conference will also include invited lectures, tutorials and special sessions.

  • 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU)

    S1.Theory of Signal-Processing S2.Statistical Signal-Processing S3.Multimedia Signal-Processing S4.Biomedical Signal-Processing S5.Sensor Networks S6.Multirate Signal-Processing S7.Pattern Recognition S8.Computer Vision S9.Adaptive Filters S10.Image/Video/Speech Browsing, Retrieval S11.Speech/Audio Coding S12.Speech Processing S13.Human-Machine Interfaces S14.Surveillance Signal Processing S15.Bioinformatics S16.Self-Learning S17.Signal-Processing Education S18.Signal-Processing Systems S1

  • 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU)

    The scope of the conference is to cover recent topics in theory and applications of Signal Processing and Communications.

  • 2008 IEEE 16th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing, Image Processing, Speech Processing, Pattern Recognition, Human Computer Interaction, Communication, Video and Speech indexing, Computer Vision, Biomedical Signal Processing


2012 7th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)

SMAP covers different issues of semantic technologies and social semantic technologies in their use for content creation, media adaptation and filtering. It seeks to bring together researchers from the social web and from the semantic web communities and under the media adaptation/personalization domain.


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Periodicals related to Indexing

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Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Knowledge and Data Engineering, IEEE Transactions on

Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...


Multimedia, IEEE Transactions on

The goal of IEEE Transactions on Multimedia is to integrate all aspects of multimedia systems and technology, signal processing, and applications. It will cover various aspects of research in multimedia technology and applications including, but not limited to: circuits, algorithms and macro/micro-architectures, software, detailed design, synchronization, interaction, joint processing and coordination of multimedia and multimodal signals/data, compression, storage, retrieval, communication, ...


Sensors Journal, IEEE

The Field of Interest of the IEEE Sensors Journal is the science and applications of sensing phenomena, including theory, design, and application of devices for sensing and transducing physical, chemical, and biological phenomena. The emphasis is on the electronics, physics, biology, and intelligence aspects of sensors and integrated sensor-actuators. (IEEE Guide for Authors) (The fields of interest of the IEEE ...



Most published Xplore authors for Indexing

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Xplore Articles related to Indexing

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Similarity search implementations for multi-core and many-core processors

Roberto Uribe-Paredes; Pedro Valero-Lara; Enrique Arias; José L. Sánchez; Diego Cazorla 2011 International Conference on High Performance Computing & Simulation, 2011

Similarity search in a large collection of stored objects in a metric database has become a most interesting problem. The Spaghettis is an efficient metric data structure to index metric spaces. However, for real applications, when processing large volumes of data, query response time can be high enough. In this case, it is necessary to apply mechanisms in order to ...


SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints

Dan He; Xindong Wu; Xingquan Zhu 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

Finding patterns in biological sequences owns a significant impact on many real-world applications such as biological sequence analysis, text indexing, stream data mining, and sensor networking. The problem of Pattern Matching with Wildcards and Length Constraints is to find all locations of occurrences of a pattern P in a text T, which can be a biological sequence, text string, etc. ...


Practical data management techniques for vehicle tracking data

S. Brakatsoulas; D. Pfoser; N. Tryfona 21st International Conference on Data Engineering (ICDE'05), 2005

A novel data source for assessing traffic conditions is floating car data (FCD) in the form of vehicle tracking data, or, in database terms, trajectory data. This work proposes practical data management techniques including data pre-processing, data modeling and indexing to support the analysis and the data mining of vehicle tracking data.


Audio Segmentation via Tri-Model Bayesian Information Criterion

Yunfeng Du; Wei Hu; Yonghong Yan; Tao Wang; Yimin Zhang 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007

This paper addresses the problem of audio segmentation in practical media (e.g. TV series, movies and etc.) which usually consists of segments in various lengths with quite a portion of short ones. An unsupervised audio segmentation approach is presented, including a segmentation-stage to detect potential acoustic changes, and a refinement-stage to refine these candidate changes by a tri-model Bayesian information ...


Compressing bitmap indices by data reorganization

A. Pinar; T. Tao; H. Ferhatosmanoglu 21st International Conference on Data Engineering (ICDE'05), 2005

Many scientific applications generate massive volumes of data through observations or computer simulations, bringing up the need for effective indexing methods for efficient storage and retrieval of scientific data. Unlike conventional databases, scientific data is mostly read-only and its volume can reach to the order of petabytes, making a compact index structure vital. Bitmap indexing has been successfully applied to ...


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Educational Resources on Indexing

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eLearning

Similarity search implementations for multi-core and many-core processors

Roberto Uribe-Paredes; Pedro Valero-Lara; Enrique Arias; José L. Sánchez; Diego Cazorla 2011 International Conference on High Performance Computing & Simulation, 2011

Similarity search in a large collection of stored objects in a metric database has become a most interesting problem. The Spaghettis is an efficient metric data structure to index metric spaces. However, for real applications, when processing large volumes of data, query response time can be high enough. In this case, it is necessary to apply mechanisms in order to ...


SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints

Dan He; Xindong Wu; Xingquan Zhu 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007), 2007

Finding patterns in biological sequences owns a significant impact on many real-world applications such as biological sequence analysis, text indexing, stream data mining, and sensor networking. The problem of Pattern Matching with Wildcards and Length Constraints is to find all locations of occurrences of a pattern P in a text T, which can be a biological sequence, text string, etc. ...


Practical data management techniques for vehicle tracking data

S. Brakatsoulas; D. Pfoser; N. Tryfona 21st International Conference on Data Engineering (ICDE'05), 2005

A novel data source for assessing traffic conditions is floating car data (FCD) in the form of vehicle tracking data, or, in database terms, trajectory data. This work proposes practical data management techniques including data pre-processing, data modeling and indexing to support the analysis and the data mining of vehicle tracking data.


Audio Segmentation via Tri-Model Bayesian Information Criterion

Yunfeng Du; Wei Hu; Yonghong Yan; Tao Wang; Yimin Zhang 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007

This paper addresses the problem of audio segmentation in practical media (e.g. TV series, movies and etc.) which usually consists of segments in various lengths with quite a portion of short ones. An unsupervised audio segmentation approach is presented, including a segmentation-stage to detect potential acoustic changes, and a refinement-stage to refine these candidate changes by a tri-model Bayesian information ...


Compressing bitmap indices by data reorganization

A. Pinar; T. Tao; H. Ferhatosmanoglu 21st International Conference on Data Engineering (ICDE'05), 2005

Many scientific applications generate massive volumes of data through observations or computer simulations, bringing up the need for effective indexing methods for efficient storage and retrieval of scientific data. Unlike conventional databases, scientific data is mostly read-only and its volume can reach to the order of petabytes, making a compact index structure vital. Bitmap indexing has been successfully applied to ...


More eLearning Resources

IEEE.tv Videos

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IEEE-USA E-Books

  • Temporal Indexing Through Lexical Chaining

    This chapter contains sections titled: Introduction, Previous Work, Lexical Trees for Indexing, Applications, Notes, References

  • Index

    Information retrieval in the age of Internet search engines has become part of ordinary discourse and everyday practice: "Google" is a verb in common usage. Thus far, more attention has been given to practical understanding of information retrieval than to a full theoretical account. In Human Information Retrieval, Julian Warner offers a comprehensive overview of information retrieval, synthesizing theories from different disciplines (information and computer science, librarianship and indexing, and information society discourse) and incorporating such disparate systems as WorldCat and Google into a single, robust theoretical framework. There is a need for such a theoretical treatment, he argues, one that reveals the structure and underlying patterns of this complex field while remaining congruent with everyday practice. Warner presents a labor theoretic approach to information retrieval, building on his previously formulated distinction between semantic and syntactic mental labor, arguing that the description and search labor of information retrieval can be understood as both semantic and syntactic in character. Warner's information science approach is rooted in the humanities and the social sciences but informed by an understanding of information technology and information theory. The chapters offer a progressive exposition of the topic, with illustrative examples to explain the concepts presented. Neither narrowly practical nor largely speculative, Human Information Retrieval meets the contemporary need for a broader treatment of information and information systems.

  • Functions and Calls

    This chapter contains sections titled: 8.1 Calling built-ins from sheet- defined functions, 8.2 Calling a sheet-defined function, 8.3 Recursive calls and tail calls, 8.4 Higher-order sheet-defined functions, 8.5 Speculation: Type analysis for function calls, 8.6 Dynamic sheet indexing, 8.7 Calling external library functions, 8.8 Speculation: Functions with state

  • Automatic Detection, Indexing, and Retrieval of Multiple Attributes from Cross-Lingual Multimedia Data

    This chapter contains sections titled: Introduction Detecting and Using Multiple Attributes from the Audio Keyword Retrieval Using Word -Based and Phoneme-Based Recognition Engines Query Expansion AHS Research Prototype Conclusion

  • Predictive Location Tracking in Cellular and in Ad Hoc Wireless Networks

    This chapter contains sections titled: Introduction Predictive Location Tracking Techniques Predictive Location Indexing Techniques Conclusion Acknowledgments References

  • Paul Otlet: Friends and Books for Information Needs

    This chapter contains sections titled: Paul Otlet and the Informational Friend, Martin Heidegger: The Value of Libraries, Information Infrastructures and Time, Writing, Reading, Library

  • Conclusion: The Modern Documentary Tradition and the Site and Time of Critique

    In this book, Ronald Day offers a critical history of the modern tradition of documentation. Focusing on the documentary index (understood as a mode of social positioning), and drawing on the work of the French documentalist Suzanne Briet, Day explores the understanding and uses of indexicality. He examines the transition as indexes went from being explicit professional structures that mediated users and documents to being implicit infrastructural devices used in everyday information and communication acts. Doing so, he also traces three epistemic eras in the representation of individuals and groups, first in the forms of documents, then information, then data. Day investigates five cases from the modern tradition of documentation. He considers the socio- technical instrumentalism of Paul Otlet, "the father of European documentation" (contrasting it to the hermeneutic perspective of Martin Heidegger); the shift from documentation to information science and the accompanying transform tion of persons and texts into users and information; social media's use of algorithms, further subsuming persons and texts; attempts to build android robots--to embody human agency within an information system that resembles a human being; and social "big data" as a technique of neoliberal governance that employs indexing and analytics for purposes of surveillance. Finally, Day considers the status of critique and judgment at a time when people and their rights of judgment are increasingly mediated, displaced, and replaced by modern documentary techniques.

  • Data Organization and Databases

    This chapter contains sections titled: 12.1 Introduction, 12.2 Memory Hierarchy, 12.3 Index Structures, 12.4 Multidimensional Indexing, 12.5 Relational Databases, 12.6 Manipulating Tables, 12.7 The Structured Query Language (SQL), 12.8 Query Execution and Optimization, 12.9 Data Warehousing and Online Analytical Processing (OLAP), 12.10 Data Structures for OLAP, 12.11 String Databases, 12.12 Massive Data Sets, Data Management, and Data Mining, 12.13 Further Reading

  • No title

    In this book, we aim to provide a fairly comprehensive overview of the scalability and efficiency challenges in large-scale web search engines. More specifically, we cover the issues involved in the design of three separate systems that are commonly available in every web-scale search engine: web crawling, indexing, and query processing systems. We present the performance challenges encountered in these systems and review a wide range of design alternatives employed as solution to these challenges, specifically focusing on algorithmic and architectural optimizations. We discuss the available optimizations at different computational granularities, ranging from a single computer node to a collection of data centers. We provide some hints to both the practitioners and theoreticians involved in the field about the way large- scale web search engines operate and the adopted design choices. Moreover, we survey the efficiency literature, providing pointers to a large number of relatively impo tant research papers. Finally, we discuss some open research problems in the context of search engine efficiency.

  • No title

    This book is the third of a three-part series on taxonomies, and covers putting your taxonomy into use in as many ways as possible to maximize retrieval for your users. Chapter 1 suggests several items to research and consider before you start your implementation and integration process. It explores the different pieces of software that you will need for your system and what features to look for in each. Chapter 2 launches with a discussion of how taxonomy terms can be used within a workflow, connecting two--or more-- taxonomies, and intelligent coordination of platforms and taxonomies. Microsoft SharePoint is a widely used and popular program, and I consider their use of taxonomies in this chapter. Following that is a discussion of taxonomies and semantic integration and then the relationship between indexing and the hierarchy of a taxonomy. Chapter 3 ("How is a Taxonomy Connected to Search?") provides discussions and examples of putting taxonomies into use i practical applications. It discusses displaying content based on search, how taxonomy is connected to search, using a taxonomy to guide a searcher, tools for search, including search engines, crawlers and spiders, and search software, the parts of a search-capable system, and then how to assemble that search-capable system. This chapter also examines how to measure quality in search, the different kinds of search, and theories on search from several famous theoreticians--two from the 18th and 19th centuries, and two contemporary. Following that is a section on inverted files, parsing, discovery, and clustering. While you probably don't need a comprehensive understanding of these concepts to build a solid, workable system, enough information is provided for the reader to see how they fit into the overall scheme. This chapter concludes with a look at faceted search and some possibilities for search interfaces. Chapter 4, "Implementing a Taxonomy in a Database or on Website," starts where many content systems really should--with the authors, or at least the people who create the content. This chapter discusses matching up various groups of related data to form connections, data visualization and text analytics, and mobile and e-commerce applications for taxonomies. Finally, Chapter 5 presents some educated guesses about the future of knowledge organization. Table of Contents: List of Figures / Preface / Acknowledgments / On Your Mark, Get Ready …. WAIT! Things to Know Before You Start the Implementation Step / Taxonomy and Thesaurus Implementation / How is a Taxonomy Connected to Search? / Implementing a Taxonomy in a Database or on a Website / What Lies Ahead for Knowledge Organization? / Glossary / End Notes / Author Biography



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