Refinement Strategies for Music Synchronization
Identifieur interne : 000E04 ( Istex/Corpus ); précédent : 000E03; suivant : 000E05Refinement Strategies for Music Synchronization
Auteurs : Sebastian Ewert ; Meinard MüllerSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
English descriptors
- Teeft :
- Algorithm, Alignment, Alignment path, Annotation, Annotation midi, Audio, Audio recording, Audio recordings, Burg2, Cchroma, Cdlnco, Chroma, Chroma features, Chroma level, Chroma representation, Constraint region, Cost matrices, Cost matrix, Database, Density function, Distortion range, Dlnco, Dlnco features, Dlnco msdtw chroma, Energy increase, Ewert, Example burg2, Feature resolution, Feature sequence, Feature sequences, Interpolation, Ismir, Kurth, Lnco, Local maxima, Matrix, Midi, Midi version, Msdtw, Multiscale, Music data streams, Music database, Music representations, Music synchronization, Musical work, Note onset times, Note onsets, Onset feature, Onset features, Onset information, Onset representation, Other feature sequence, Piano pieces, Pitch band, Polyphonic, Proc, Robust, Robustness, Sect, Smooth interpolation, Standard deviation, Statistical values, Synchronization, Synchronization accuracy, Synchronization procedure, Synchronization procedures, Synchronization result, Temporal accuracy, Temporal resolution, Time position, Time ranges.
Abstract
Abstract: For a single musical work, there often exists a large number of relevant digital documents including various audio recordings, MIDI files, or digitized sheet music. The general goal of music synchronization is to automatically align the multiple information sources related to a given musical work. In computing such alignments, one typically has to face a delicate tradeoff between robustness, accuracy, and efficiency. In this paper, we introduce various refinement strategies for music synchronization. First, we introduce novel audio features that combine the temporal accuracy of onset features with the robustness of chroma features. Then, we show how these features can be used within an efficient and robust multiscale synchronization framework. In addition we introduce an interpolation method for further increasing the temporal resolution. Finally, we report on our experiments based on polyphonic Western music demonstrating the respective improvements of the proposed refinement strategies.
Url:
DOI: 10.1007/978-3-642-02518-1_10
Links to Exploration step
ISTEX:8738390EE378E5877C38205EDB914302C371B177Le document en format XML
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The general goal of music synchronization is to automatically align the multiple information sources related to a given musical work. In computing such alignments, one typically has to face a delicate tradeoff between robustness, accuracy, and efficiency. In this paper, we introduce various refinement strategies for music synchronization. First, we introduce novel audio features that combine the temporal accuracy of onset features with the robustness of chroma features. Then, we show how these features can be used within an efficient and robust multiscale synchronization framework. In addition we introduce an interpolation method for further increasing the temporal resolution. 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Lancaster, UK</affiliation></editor><editor xml:id="serie-author-0001"><persName><forename type="first">Takeo</forename><surname>Kanade</surname></persName><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation></editor><editor xml:id="serie-author-0002"><persName><forename type="first">Josef</forename><surname>Kittler</surname></persName><affiliation>University of Surrey, Guildford, UK</affiliation></editor><editor xml:id="serie-author-0003"><persName><forename type="first">Jon</forename><forename type="first">M.</forename><surname>Kleinberg</surname></persName><affiliation>Cornell University, Ithaca, NY, USA</affiliation></editor><editor xml:id="serie-author-0004"><persName><forename type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Zurich, Switzerland</affiliation></editor><editor xml:id="serie-author-0005"><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, Stanford, CA, USA</affiliation></editor><editor xml:id="serie-author-0006"><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor xml:id="serie-author-0007"><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Bern, Switzerland</affiliation></editor><editor xml:id="serie-author-0008"><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor xml:id="serie-author-0009"><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Dortmund, Germany</affiliation></editor><editor xml:id="serie-author-0010"><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor xml:id="serie-author-0011"><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>University of California, Los Angeles, CA, USA</affiliation></editor><editor xml:id="serie-author-0012"><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor xml:id="serie-author-0013"><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor xml:id="serie-author-0014"><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation></editor><biblScope><date>2009</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="series-Id">558</idno><biblScope unit="volume">1</biblScope></series></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2009</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: For a single musical work, there often exists a large number of relevant digital documents including various audio recordings, MIDI files, or digitized sheet music. The general goal of music synchronization is to automatically align the multiple information sources related to a given musical work. In computing such alignments, one typically has to face a delicate tradeoff between robustness, accuracy, and efficiency. In this paper, we introduce various refinement strategies for music synchronization. First, we introduce novel audio features that combine the temporal accuracy of onset features with the robustness of chroma features. Then, we show how these features can be used within an efficient and robust multiscale synchronization framework. In addition we introduce an interpolation method for further increasing the temporal resolution. Finally, we report on our experiments based on polyphonic Western music demonstrating the respective improvements of the proposed refinement strategies.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><item><term>Computer Science</term></item><label>I18032</label><item><term>Information Storage and Retrieval</term></item><label>V32000</label><item><term>Music</term></item><label>I18059</label><item><term>Multimedia Information Systems</term></item><label>I23036</label><item><term>Computer Appl. in Arts and Humanities</term></item><label>I18067</label><item><term>User Interfaces and Human Computer Interaction</term></item><label>I13030</label><item><term>Special Purpose and Application-Based Systems</term></item></list></keywords></textClass></profileDesc><revisionDesc><change 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in Computer Science</SeriesTitle></SeriesInfo><SeriesHeader><EditorGroup><Editor AffiliationIDS="Aff1"><EditorName DisplayOrder="Western"><GivenName>David</GivenName><FamilyName>Hutchison</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff2"><EditorName DisplayOrder="Western"><GivenName>Takeo</GivenName><FamilyName>Kanade</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff3"><EditorName DisplayOrder="Western"><GivenName>Josef</GivenName><FamilyName>Kittler</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff4"><EditorName DisplayOrder="Western"><GivenName>Jon</GivenName><GivenName>M.</GivenName><FamilyName>Kleinberg</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff5"><EditorName DisplayOrder="Western"><GivenName>Friedemann</GivenName><FamilyName>Mattern</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff6"><EditorName 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Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>Stanford</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0"><BookID>978-3-642-02518-1</BookID><BookTitle>Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music</BookTitle><BookSubTitle>5th International Symposium, CMMR 2008 Copenhagen, Denmark, May 19-23, 2008 Revised Papers</BookSubTitle><BookVolumeNumber>5493</BookVolumeNumber><BookSequenceNumber>5493</BookSequenceNumber><BookDOI>10.1007/978-3-642-02518-1</BookDOI><BookTitleID>189156</BookTitleID><BookPrintISBN>978-3-642-02517-4</BookPrintISBN><BookElectronicISBN>978-3-642-02518-1</BookElectronicISBN><BookChapterCount>21</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18032" Priority="1" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="V32000" Priority="2" Type="Secondary">Music</BookSubject><BookSubject Code="I18059" Priority="3" Type="Secondary">Multimedia Information Systems</BookSubject><BookSubject Code="I23036" Priority="4" Type="Secondary">Computer Appl. in Arts and Humanities</BookSubject><BookSubject Code="I18067" Priority="5" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><BookSubject Code="I13030" Priority="6" Type="Secondary">Special Purpose and Application-Based Systems</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Sølvi</GivenName><FamilyName>Ystad</FamilyName></EditorName><Contact><Email>ystad@lma.cnrs-mrs.fr</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Richard</GivenName><FamilyName>Kronland-Martinet</FamilyName></EditorName><Contact><Email>kronland@lma.cnrs-mrs.fr</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Kristoffer</GivenName><FamilyName>Jensen</FamilyName></EditorName><Contact><Email>krist@aaue.dk</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>CNRS Laboratoire de Mécanique et d’Acoustique</OrgName><OrgAddress><Street>31 chemin Joseph-Aiguier</Street><Postcode>13402</Postcode><City>Marseille Cedex 20</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>CNRS-LMA</OrgName><OrgAddress><Street>31, Chemin Joseph Aiguier</Street><Postcode>13402</Postcode><City>Marseille Cedex 20</City><Country>France</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>Aalborg University Esbjerg</OrgName><OrgAddress><Street>Niels Bohr Vej 8</Street><Postcode>6700</Postcode><City>Esbjerg</City><Country>Denmark</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartNumber>1</PartNumber><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Retrieving the Meaning</PartTitle><PartChapterCount>14</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Computer Music Modeling and Retrieval</BookTitle></PartContext></PartInfo><SubPart ID="SubPart2"><SubPartInfo><SubPartID>2</SubPartID><SubPartNumber>1.2</SubPartNumber><SubPartSequenceNumber>2</SubPartSequenceNumber><SubPartTitle>Signal Structure Behavior</SubPartTitle><SubPartChapterCount>7</SubPartChapterCount></SubPartInfo><Chapter ID="Chap10" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>10</ChapterID><ChapterDOI>10.1007/978-3-642-02518-1_10</ChapterDOI><ChapterSequenceNumber>10</ChapterSequenceNumber><ChapterTitle Language="En">Refinement Strategies for Music Synchronization</ChapterTitle><ChapterFirstPage>147</ChapterFirstPage><ChapterLastPage>165</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>1</PartID><BookID>978-3-642-02518-1</BookID><BookTitle>Computer Music Modeling and Retrieval</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Sebastian</GivenName><FamilyName>Ewert</FamilyName></AuthorName><Contact><Email>ewerts@cs.uni-bonn.de</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Meinard</GivenName><FamilyName>Müller</FamilyName></AuthorName><Contact><Email>meinard@mpi-inf.mpg.de</Email></Contact></Author><Affiliation ID="Aff19"><OrgDivision>Institut für Informatik III</OrgDivision><OrgName>Universität Bonn</OrgName><OrgAddress><Street>Römerstr. 164</Street><Postcode>53117</Postcode><City>Bonn</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>Max-Planck-Institut für Informatik</OrgName><OrgAddress><Street>Campus E1-4</Street><Postcode>66123</Postcode><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>For a single musical work, there often exists a large number of relevant digital documents including various audio recordings, MIDI files, or digitized sheet music. The general goal of music synchronization is to automatically align the multiple information sources related to a given musical work. In computing such alignments, one typically has to face a delicate tradeoff between robustness, accuracy, and efficiency. In this paper, we introduce various refinement strategies for music synchronization. First, we introduce novel audio features that combine the temporal accuracy of onset features with the robustness of chroma features. Then, we show how these features can be used within an efficient and robust multiscale synchronization framework. In addition we introduce an interpolation method for further increasing the temporal resolution. Finally, we report on our experiments based on polyphonic Western music demonstrating the respective improvements of the proposed refinement strategies.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Refinement Strategies for Music Synchronization</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Refinement Strategies for Music Synchronization</title></titleInfo><name type="personal"><namePart type="given">Sebastian</namePart><namePart type="family">Ewert</namePart><affiliation>Institut für Informatik III, Universität Bonn, Römerstr. 164, 53117, Bonn, Germany</affiliation><affiliation>E-mail: ewerts@cs.uni-bonn.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Meinard</namePart><namePart type="family">Müller</namePart><affiliation>Max-Planck-Institut für Informatik, Campus E1-4, 66123, Saarbrücken, Germany</affiliation><affiliation>E-mail: meinard@mpi-inf.mpg.de</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="proceedings"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2009</dateIssued><copyrightDate encoding="w3cdtf">2009</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: For a single musical work, there often exists a large number of relevant digital documents including various audio recordings, MIDI files, or digitized sheet music. The general goal of music synchronization is to automatically align the multiple information sources related to a given musical work. In computing such alignments, one typically has to face a delicate tradeoff between robustness, accuracy, and efficiency. In this paper, we introduce various refinement strategies for music synchronization. First, we introduce novel audio features that combine the temporal accuracy of onset features with the robustness of chroma features. Then, we show how these features can be used within an efficient and robust multiscale synchronization framework. In addition we introduce an interpolation method for further increasing the temporal resolution. Finally, we report on our experiments based on polyphonic Western music demonstrating the respective improvements of the proposed refinement strategies.</abstract><relatedItem type="host"><titleInfo><title>Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music</title><subTitle>5th International Symposium, CMMR 2008 Copenhagen, Denmark, May 19-23, 2008 Revised Papers</subTitle></titleInfo><name type="personal"><namePart type="given">Sølvi</namePart><namePart type="family">Ystad</namePart><affiliation>CNRS Laboratoire de Mécanique et d’Acoustique, 31 chemin Joseph-Aiguier, 13402, Marseille Cedex 20, France</affiliation><affiliation>E-mail: ystad@lma.cnrs-mrs.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Richard</namePart><namePart type="family">Kronland-Martinet</namePart><affiliation>CNRS-LMA, 31, Chemin Joseph Aiguier, 13402, Marseille Cedex 20, France</affiliation><affiliation>E-mail: kronland@lma.cnrs-mrs.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Kristoffer</namePart><namePart type="family">Jensen</namePart><affiliation>Aalborg University Esbjerg, Niels Bohr Vej 8, 6700, Esbjerg, Denmark</affiliation><affiliation>E-mail: krist@aaue.dk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2009</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="V32000">Music</topic><topic authority="SpringerSubjectCodes" authorityURI="I18059">Multimedia Information Systems</topic><topic authority="SpringerSubjectCodes" authorityURI="I23036">Computer Appl. in Arts and Humanities</topic><topic authority="SpringerSubjectCodes" authorityURI="I18067">User Interfaces and Human Computer Interaction</topic><topic authority="SpringerSubjectCodes" authorityURI="I13030">Special Purpose and Application-Based Systems</topic></subject><identifier type="DOI">10.1007/978-3-642-02518-1</identifier><identifier type="ISBN">978-3-642-02517-4</identifier><identifier type="eISBN">978-3-642-02518-1</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">189156</identifier><identifier type="BookID">978-3-642-02518-1</identifier><identifier type="BookChapterCount">21</identifier><identifier type="BookVolumeNumber">5493</identifier><identifier type="BookSequenceNumber">5493</identifier><identifier type="PartChapterCount">14</identifier><part><date>2009</date><detail type="part"><title>1: Retrieving the Meaning</title></detail><detail type="volume"><number>5493</number><caption>vol.</caption></detail><extent 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type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart 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