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Article Webinar: Fragmenting your Media Assets meaningfully – media analysis for fragment detection and extraction
In this webinar we will discuss a set of video processing techniques for media fragment creation and annotation. These include techniques for the temporal segmentation of the video into shots and scenes, the re-detection of appearances of specific objects throughout the video, and the detection of concepts that describe the temporal video fragments. Such techniques are the first step towards converting the raw video material into meaningful media fragments.
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Article Webinar: What is MediaMixing? – making media more valuable for its owner and more useful for its consumer
MediaMixer is an EU funded project to support organisations in enhancing their media contents to create greater value and extend their reach across customers, consumers and the media value chain. MediaMixer promotes new technologies which enable the fragmentation of media items into distinct parts which can be re-purposed and re-sold.In this talk, project coordinator Dr Lyndon Nixon will outline the MediaMixer vision, grounding it in organisational trends to create and re-use increasing amounts of media assets, and backing it up with a look at the limitations of current media technology solutions. He will explain how MediaMixer can support interested organisations to adopt and use new technology for working with audiovisual media.
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Article White Paper Media Fragment Creation
Methods for video segementation in scenes and shots and Identification of meaningful fragements in the different tracks. This covers video concept detection, object redetection, qualtity assessment and clustering.
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Article Creating media fragments with video analysis techniques
Available video analysis techniques are used to transform whole videos to sets of meaningful, indexable and re-usable video fragments according the W3C MF URI 1.0 Standard. Goals are: Video segmentation, concept detection, event detection and object detection.
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Article MediaMixer Core Technology Report
MediaMixer promotes technology for fragmenting media assets and making it possible to annotate these fragments for subsequent retrieval and re-mixing in new contexts. We believe this can help media owners to derive more value from their assets by making those assets more useful for media consumers. The MediaMixer technology report presents and explains these technologies and points to available tools and services to include their functionality into a media workflow.
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Article Enrichment of News Show Videos with Multimodal Semi-Automatic Analysis
The LinkedTV project is presented, with works and results regarding intelligent video analysis, segmentation, concept detection, person detection and automatic speech recognition.
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Article High-level event detection in video exploiting discriminant concepts
High-level event detection in video exploiting discriminant concepts on the basis of state of the art algorithms with regarding the quality of results and needed efforts.
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Article Improving interactive video retrieval by exploiting automatically-extracted video structural semantics
Semantic video retrieval as a key application uses automatic extraction of video structural semantics. This can be done using existing state‐of‐the‐art scene segmentation algorithms.
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Article On the use of visual soft semantics for video temporal decomposition to scenes
Semantic information automatically extracted from the visual content is used for segmentation to scenes. A soft semantics approach improves the video segmentation.
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Article Temporal video segmentation and classification using spatial spatio-temporal features
The importance of spatio‐temporal extensions for high‐level feature extraction is shown, to be used for index, retrieval, summarization and personal delivery.
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