Volume

Dagstuhl Seminar Proceedings, Volume 8251

Publication Details

  • published at: 2009-05-29
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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Document
DOI: 10.4230/DagSemProc.08251.1
08251 Abstracts Collection – Contextual and Social Media Understanding and Usage

Authors: Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, and Svetha Venkatesh

Abstract
From 15.06. to 20.06.2008, the Dagstuhl Seminar 08251 ``Contextual and Social Media Understanding and Usage '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, and Svetha Venkatesh. 08251 Abstracts Collection – Contextual and Social Media Understanding and Usage. In Contextual and Social Media Understanding and Usage. Dagstuhl Seminar Proceedings, Volume 8251, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{boll_et_al:DagSemProc.08251.1,
  author =	{Boll, Susanne and Kankanhalli, Mohan S. and Pingali, Gopal and Venkatesh, Svetha},
  title =	{{08251 Abstracts Collection – Contextual and Social Media Understanding and Usage}},
  booktitle =	{Contextual and Social Media Understanding and Usage},
  pages =	{1--15},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8251},
  editor =	{Susanne Boll and Mohan S. Kankanhalli and Gopal Pingali and Svetha Venkatesh},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08251.1},
  URN =		{urn:nbn:de:0030-drops-20259},
  doi =		{10.4230/DagSemProc.08251.1},
  annote =	{Keywords: Mutable state, Program logics, Semantics, Type systems}
}
Document
DOI: 10.4230/DagSemProc.08251.2
08251 Summary – Contextual and Social Media Understanding and Usage

Authors: Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, and Svetha Venkatesh

Abstract
Many years of multimedia research has achieved interesting results in the field of the semantic understanding of media content. Signal analysis, i.e., video, audio, image analysis has achieved some initial results to (semi-)automatically understand the semantics. However, the ability to really understand the media e.g. tell a sundown from a sunflower in an image is still difficult. It is becoming clear that “one way to resolve the semantic gap comes from sources outside of the image by integrating other sources of information” and that we should “exploit the synergy between the various media, including text and context information”. Flickr brought a new approach of communities, sharing, and tagging of photos. While tagging does not really solve the problem, it brings a new perspective of the situational usage of media, the co-presences of things and persons. Perhaps context and socio-sphere of media will bring us closer to surmounting the semantic gap. Indeed, we are now at the threshold of a new decade of contextual and social understanding of media content.
Cite as

Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, and Svetha Venkatesh. 08251 Summary – Contextual and Social Media Understanding and Usage. In Contextual and Social Media Understanding and Usage. Dagstuhl Seminar Proceedings, Volume 8251, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{boll_et_al:DagSemProc.08251.2,
  author =	{Boll, Susanne and Kankanhalli, Mohan S. and Pingali, Gopal and Venkatesh, Svetha},
  title =	{{08251 Summary – Contextual and Social Media Understanding and Usage}},
  booktitle =	{Contextual and Social Media Understanding and Usage},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8251},
  editor =	{Susanne Boll and Mohan S. Kankanhalli and Gopal Pingali and Svetha Venkatesh},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08251.2},
  URN =		{urn:nbn:de:0030-drops-20248},
  doi =		{10.4230/DagSemProc.08251.2},
  annote =	{Keywords: Mutable state, Program logics, Semantics, Type systems}
}
Document
DOI: 10.4230/DagSemProc.08251.3
A Robust Estimator of Image Thumbnail and Video Histogram Representation

Authors: Cheng Cai

Abstract
For browsing and retrieval system, images are represented by thumbnails and video shots are represented by content representations. In order to achieve better visual quality and retrieval performance, the representation estimator is expected to be accurate and robust. From the statistical perspective, representation extraction can be treated as central value estimation. In this paper, we propose an adaptive alpha-trimmed average estimator based on Gaussian distribution hypothesis test (AATA-GDHT). For a set of values, this estimator extracts the representation by trimming extreme values and then averaging the rest. The criterion to distinguish between extreme values and useful data is derived from Gaussian distribution hypothesis test on the basis of global statics. Experimental results from standard images and videos show that our proposed scheme outperforms traditional methods.For the browsing and retrieval system, images are represented by thumbnails and video shots are represented by histogram representations. In order to achieve better visual quality and retrieval performance, the representation estimator is expected to be accurate and robust. From the statistical perspective, representation extraction can be treated as central value estimation. In this paper, we propose an adaptive alpha-trimmed average estimator based on the Gaussian distribution hypothesis test. For a set of values, this estimator extracts the representation by trimming extreme values and then averaging the rest. The criterion adopted to distinguish between extreme values and useful data is derived from the Gaussian distribution hypothesis test on the basis of global statics. Experimental results from standard images and videos show that our proposed scheme outperforms traditional methods.
Cite as

Cheng Cai. A Robust Estimator of Image Thumbnail and Video Histogram Representation. In Contextual and Social Media Understanding and Usage. Dagstuhl Seminar Proceedings, Volume 8251, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{cai:DagSemProc.08251.3,
  author =	{Cai, Cheng},
  title =	{{A Robust Estimator of Image Thumbnail and Video Histogram Representation}},
  booktitle =	{Contextual and Social Media Understanding and Usage},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8251},
  editor =	{Susanne Boll and Mohan S. Kankanhalli and Gopal Pingali and Svetha Venkatesh},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08251.3},
  URN =		{urn:nbn:de:0030-drops-20182},
  doi =		{10.4230/DagSemProc.08251.3},
  annote =	{Keywords: Algorithms, Experimentation, Performance}
}
Document
DOI: 10.4230/DagSemProc.08251.4
Difficulties in Image Retrieval

Authors: Masashi Inoue

Abstract
The semantic gap is often regarded as a major problem in the field of image retrieval research. In this paper, I will show that there are other important topics that should be addressed for improving the image retrieval utility. Among them, the exploitation of limited information and motivating the use of images are considered to be central to the development of image retrieval.
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Masashi Inoue. Difficulties in Image Retrieval. In Contextual and Social Media Understanding and Usage. Dagstuhl Seminar Proceedings, Volume 8251, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{inoue:DagSemProc.08251.4,
  author =	{Inoue, Masashi},
  title =	{{Difficulties in Image Retrieval}},
  booktitle =	{Contextual and Social Media Understanding and Usage},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8251},
  editor =	{Susanne Boll and Mohan S. Kankanhalli and Gopal Pingali and Svetha Venkatesh},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08251.4},
  URN =		{urn:nbn:de:0030-drops-20199},
  doi =		{10.4230/DagSemProc.08251.4},
  annote =	{Keywords: Image retrieval, utility, user, scarcity, insufficiency}
}
Document
DOI: 10.4230/DagSemProc.08251.5
Digging out implicit semantics from user interaction

Authors: Stéphane Marchand-Maillet

Abstract
User interaction may take many forms in multimedia systems. Current systems mainly waste this implicit and natural source of semantic knowledge and rather create tedious and unnatural interaction protocols. We advocate for a complete integration of natural interaction protocols and semantic knowledge capture, mainly thru mining interaction sessions. We assert that users possess the ability to quickly examine and summarise these documents, even subconsciously. Examples include specifying relevance between a query and results, rating preferences in film databases, purchasing items from online retailers, and even simply browsing web sites. Data from these interactions, captured and stored in log files, can be interpreted to have semantic meaning, which proves indispensable when used in a collaborative setting where users share similar preferences and goals.
Cite as

Stéphane Marchand-Maillet. Digging out implicit semantics from user interaction. In Contextual and Social Media Understanding and Usage. Dagstuhl Seminar Proceedings, Volume 8251, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{marchandmaillet:DagSemProc.08251.5,
  author =	{Marchand-Maillet, St\'{e}phane},
  title =	{{Digging out implicit semantics from user interaction}},
  booktitle =	{Contextual and Social Media Understanding and Usage},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8251},
  editor =	{Susanne Boll and Mohan S. Kankanhalli and Gopal Pingali and Svetha Venkatesh},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08251.5},
  URN =		{urn:nbn:de:0030-drops-20205},
  doi =		{10.4230/DagSemProc.08251.5},
  annote =	{Keywords: Multimedia, social media, interaction, crowdourcing}
}
Document
DOI: 10.4230/DagSemProc.08251.6
Linking the Semantics Ecosystem with Semantics Derivation Rules for Multimedia Content

Authors: Ansgar Scherp

Abstract
Multimedia content exhibits multiple semantics that is influenced by different factors like time, contextual use, and personal background. With the semantics ecosystem, we find an elegant and high-level description of the different factors that influence the semantics of multimedia content. On the other hand, semantics derivation rules are a concrete means to extract and to derive semantics of multimedia content while authoring it. These rules are directly applicable in concrete applications and domains. Thus, there is a gap between the high-level ecosystem and the concrete semantics derivation rules. In this position paper, we propose the use of an ontology-based description of events to combine the high-level description of the semantics ecosystem with the concrete method of semantics derivation for page-based multimedia presentations.
Cite as

Ansgar Scherp. Linking the Semantics Ecosystem with Semantics Derivation Rules for Multimedia Content. In Contextual and Social Media Understanding and Usage. Dagstuhl Seminar Proceedings, Volume 8251, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{scherp:DagSemProc.08251.6,
  author =	{Scherp, Ansgar},
  title =	{{Linking the Semantics Ecosystem with Semantics Derivation Rules for Multimedia Content}},
  booktitle =	{Contextual and Social Media Understanding and Usage},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8251},
  editor =	{Susanne Boll and Mohan S. Kankanhalli and Gopal Pingali and Svetha Venkatesh},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08251.6},
  URN =		{urn:nbn:de:0030-drops-20219},
  doi =		{10.4230/DagSemProc.08251.6},
  annote =	{Keywords: Multimedia Semantics, Semantics Ecosystem, Semantics Derivation, Event Ontology}
}
Document
DOI: 10.4230/DagSemProc.08251.7
Understanding User Behavior Geospatially

Authors: Xing Xie

Abstract
Understanding users is an essential task for providing personal Web experience and targeted advertisements. Current commercial or research systems try to understand users from their online behaviors, for example, how they search, read and write on the Web. However, this type of approaches missed a large part of people¡¯s everyday life, or called ¡®physical¡¯ behaviors. The physical behaviors include how people dine, shop, travel, or other activities happened in the real world. In our opinion, location is one of the most important aspects for people¡¯s everyday life. With the rapid growth of location sensing devices and Web based GIS tools, it becomes possible to track these physical behaviors from a geospatial view. In this paper, we present our recent work towards understanding users from a geospatial view. Particularly, we studied GPS trajectory transportation mode categorization and co-located query pattern mining problems.
Cite as

Xing Xie. Understanding User Behavior Geospatially. In Contextual and Social Media Understanding and Usage. Dagstuhl Seminar Proceedings, Volume 8251, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{xie:DagSemProc.08251.7,
  author =	{Xie, Xing},
  title =	{{Understanding User Behavior Geospatially}},
  booktitle =	{Contextual and Social Media Understanding and Usage},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8251},
  editor =	{Susanne Boll and Mohan S. Kankanhalli and Gopal Pingali and Svetha Venkatesh},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08251.7},
  URN =		{urn:nbn:de:0030-drops-20177},
  doi =		{10.4230/DagSemProc.08251.7},
  annote =	{Keywords: Geographic data mining, personalization, transportation mode, co-location pattern, log mining}
}

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  • Authors
  • B
  • Boll, Susanne
  • C
  • Cai, Cheng
  • I
  • Inoue, Masashi
  • K
  • Kankanhalli, Mohan S.
  • M
  • Marchand-Maillet, Stéphane
  • P
  • Pingali, Gopal
  • S
  • Scherp, Ansgar
  • V
  • Venkatesh, Svetha
  • X
  • Xie, Xing

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