Development of Multimedia Annotation and Retrieval System using MPEG-7 based Semantic Metadata Model
نویسندگان
چکیده
منابع مشابه
Using MPEG – 7 for Multimedia retrieval
The aim of knowledge retrieval is an efficient knowledge finding in complex knowledge spaces. In this thesis a Multimedia query Framework is realized that supports Multimedia queries composed of different media types linked together for a unique query request. The user does not have to enter Low-level data. The Multimedia query Framework supports the direct usage of Multimedia data for query sp...
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With the growing amount of people using the Internet, and creating digital content and information, knowledge retrieval becomes a critical task. Knowledge retrieval allows people to find content they search for when they need it. Ongoing efforts provide frameworks and standards for annotating digital and non-digital content semantically to describe resources more precisely and processable in co...
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The amount of digital media that has to be actually managed has already become unaffordable without fine-grained computerised support. This requires an extensive use of multimedia metadata. MPEG-7 is the greatest metadata framework created to date but it is based on XML Schemas. Therefore, its does not have formal semantics, which makes difficult to manage, extend and integrate it. Consequently...
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— aceMedia is a 4 year EC part-funded FP6 Integrated Project, ending in December 2007. The project has developed tools to enable users to manage and share both personal and purchased content across PC, STB and mobile platforms. Knowledge-based analysis and ontologies have been successfully exploited in an end-to-end system to enable automated semantic annotation and retrieval of multimedia cont...
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The growth in multimedia production has increased the size of audiovisual repositories, and has also led to the formation of increasingly large metadata collections about these contents. Deciding how these collections are effectively represented is challenging due to their variety and volume. Besides, large volumes also affect the performance of metadata retrieval tasks, compromising the succes...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartD
سال: 2007
ISSN: 1598-2866
DOI: 10.3745/kipstd.2007.14-d.6.573