Metadata for multimedia documents

Böhm, Klemens; Rakow, Thomas C.

doi:10.1145/190627.190635

Cited by 35 publications

(17 citation statements)

References 10 publications

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“…The results of this research contribute to an increasing yet little embodiment of literature on audiovisual heritage. Over the past years, much technological work has been done to develop formats and standards (Chiariglione, 1995;Rakow et al, 1994) as well as metadata (Böhm & Rakow, 1994;Gabriel & Ribeiro, 2001;Wactlar & Christel, 2002) for archiving audiovisual content. Parallel with the increased attention to technical issues of preserving and archiving, the library and archive community addressed managerial challenges for audiovisual archives such as copyright (Johansen, 2001;.…”

Section: Scientific Relevancementioning

confidence: 99%

A consumer perspective on moving images: The design and adoption of public audiovisual heritage services in the Netherlands

Ongena¹

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Section: Scientific Relevancementioning

confidence: 99%

A consumer perspective on moving images: The design and adoption of public audiovisual heritage services in the Netherlands

Ongena¹

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“…Bohm and Rakow [2] discussed the different aspects of classifying multimedia documents based on document metadata. Multimedia documents can be classified into six orthogonal categories, viz., representation of media type, content description, content classification, document composition, document history and document location.…”

Section: Metadata For Grouping Filesmentioning

confidence: 99%

“…The effort margin is computed as the ratio of sum of the number of association groups to the number of groups to be analyzed in the worst case. 2 The value ranges from 0 to 1, where 0 represents zero effort for the examiner and 1 represents effort identical to that when carried out with traditional forensic tools for individual file analysis. The effort margin can take a value 1, if and only if all the files remain unassociated after applying the model leading to a separate group for each file.…”

Section: Metrics and Measurementsmentioning

confidence: 99%

Eliciting file relationships using metadata based associations for digital forensics

Raghavan¹

2014

CSIT

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In the conventional system of analysis that is concerned with digital forensics, content is analyzed to describe the state of files in digital evidence and ascertain their relevance. Such content analysis is carried out using ''searching''. When searching a file or for a file, use of keywords is the norm. When the exact words are not known, one may use regular expression search which uses a more flexible language for describing a set of keywords that fit a pattern. During analysis, there is also a need to identify all types of associations that exist between the files to answer the six fundamental questions of what, when, where, how, who and why. If the keywords and pattern have limited scope, an examiner often has very little to go on. Metadata contains information that represents the state of a file, even if partially. Besides, metadata based search is amenable to automation by virtue of the ubiquitous nature of metadata. During analysis, metadata can be used to ascertain the nature of digital photographs that were processed using software and identify digitally generated images that resemble original photographs. Metadata can also be used to identify word processing documents that were derived from other documents and stored as a duplicate or after modification in such a way that traditional techniques cannot detect. Often what is needed is the ability to identify section(s) of the evidence where relevant information appears to reside. Metadata based matches give rise to file relationships that encapsulate the event sequence among related files aiding in the discovery. This paper proposes a method to automatically identify associations among the files in digital evidence at the syntactic and semantic levels using metadata. We apply this method to identify metadata associations from collections of image files and word processing documents and elicit inter-file relationships for the purpose of identifying interesting or relevant files from large file collections in digital evidence. We demonstrate that the file relationships identified using metadata help in the identification of doctored photographs and copied documents.

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“…Bohm and Rakow [20] discuss the different aspects of classifying multimedia documents based on document metadata. Multimedia documents can be classified into six orthogonal categories, viz., representation of media type, content description, content classification, document composition, document history and document location.…”

Section: "Metadata Includes Information About the Document Or File Thmentioning

confidence: 99%

Digital forensic research: current state of the art

Raghavan

2012

CSIT

113

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Abstract-Digital Forensics is the process of employing scientific principles and processes analyze electronically stored information to determine the sequence of events which led to a particular incident. In this digital age, it is important for researchers to become aware of the recent developments in this dynamic field and understand scope for the future. The past decade has witnessed significant technological advancements to aid during a digital investigation. Many methodologies, tools and techniques have found their way into the field designed on forensic principles. Digital forensics has also witnessed many innovative approaches that have been explored to acquire and analyze digital evidence from diverse sources. In this paper, we review the research literature since 2000 and categorize developments in the field into 4 major categories. In recent years the exponential growth of technological has also brought with it some serious challenges for digital forensic research which is elucidated. Within each category, research is sub-classified into conceptual and practical advancements. We highlight the observations made by previous researchers and summarize the research directions for the future.

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Metadata for multimedia documents

Cited by 35 publications

References 10 publications

A consumer perspective on moving images: The design and adoption of public audiovisual heritage services in the Netherlands

A consumer perspective on moving images: The design and adoption of public audiovisual heritage services in the Netherlands

Eliciting file relationships using metadata based associations for digital forensics

Digital forensic research: current state of the art

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