An MPEG-7 query language and a user preference model that allow semantic retrieval and filtering of multimedia content

Tsinaraki, Chrisa; Christodoulakis, Stavros

doi:10.1007/s00530-007-0091-z

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…The use of ontologies as means of annotations of images and video has been discussed by several authors [6,7,14,15,16,17]. An advantage is that they systematically manage the knowledge in a domain, unlike tags in social networks (e.g.…”

Section: Related Workmentioning

confidence: 99%

Semantic maps and mobile context capturing for picture content visualization and management of picture databases

Christodoulakis¹,

Foukarakis²,

Ragia³

et al. 2008

Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia

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Modern cameras are powerful devices that can interoperate using international standards with other sensors that can capture the context of each picture taken. Future cameras are expected to integrate such sensors within them. The contextual parameters captured can be interpreted with the help of semantic maps which are maps that integrate semantic information on them. Semantic maps can be used for understanding and visualization of the picture contents as well as for the management of context and content in picture databases. In this paper, we present a model for the management of semantic image information and the contextual knowledge related to the image capture along with a system implementation that manages and exploits this knowledge. Digital picture contents in the database can be interrelated with, and understood based on, contextual semantic geospatial information that the system manages. We describe the integrated camera system, the calculation and visualization of the contextual parameters, and the management of the semantics of the spatial objects. Finally, we present the implementation of SPIM, a SPatial Image Management system that exploits semantic contextual knowledge, its retrieval functionality and the visual user interfaces.

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Section: Related Workmentioning

confidence: 99%

Semantic maps and mobile context capturing for picture content visualization and management of picture databases

Christodoulakis¹,

Foukarakis²,

Ragia³

et al. 2008

Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia

Self Cite

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“…It also supports result formatting and foresees service discovery functionality. From among various proposals we may highlight [21] which presents an MPEG-7 query language that also allows to query ontologies described in OWL syntax.…”

Section: Related Workmentioning

confidence: 99%

Query Language for Complex Similarity Queries

Budikova

Batko

Zezula

2012

Advances in Databases and Information Systems

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For complex data types such as multimedia, traditional data management methods are not suitable. Instead of attribute matching approaches, access methods based on object similarity are becoming popular. Recently, this resulted in an intensive research of indexing and searching methods for the similarity-based retrieval. Nowadays, many efficient methods are already available, but using them to build an actual search system still requires specialists that tune the methods and build the system manually. Several attempts have already been made to provide a more convenient high-level interface in a form of query languages for such systems, but these are limited to support only basic similarity queries. In this paper, we propose a new language that allows to formulate content-based queries in a flexible way, taking into account the functionality offered by a particular search engine in use. To ensure this, the language is based on a general data model with an abstract set of operations. Consequently, the language supports various advanced query operations such as similarity joins, reverse nearest neighbor queries, or distinct kNN queries, as well as multi-object and multi-modal queries. The language is primarily designed to be used with the MESSIF framework for content-based searching but can be employed by other retrieval systems as well.

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“…It is based on OWL and has been prototypically implemented in the DS-MIRF framework. The query language for MPEG-7 descriptions (called MP7QL [34]) differentiates between three query types:…”

Section: Semantic Query Languagesmentioning

confidence: 99%

MPEG‐7/21: Structured Metadata for Handling and Personalizing Multimedia Content

Köhncke

Balke

2010

The Handbook of MPEG Applications

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An MPEG-7 query language and a user preference model that allow semantic retrieval and filtering of multimedia content

Cited by 11 publications

References 13 publications

Semantic maps and mobile context capturing for picture content visualization and management of picture databases

Semantic maps and mobile context capturing for picture content visualization and management of picture databases

Query Language for Complex Similarity Queries

MPEG‐7/21: Structured Metadata for Handling and Personalizing Multimedia Content

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