Search results for "video summarization"

showing 3 items of 3 documents

A comprehensive survey of multi-view video summarization

2021

[EN] There has been an exponential growth in the amount of visual data on a daily basis acquired from single or multi-view surveillance camera networks. This massive amount of data requires efficient mechanisms such as video summarization to ensure that only significant data are reported and the redundancy is reduced. Multi-view video summarization (MVS) is a less redundant and more concise way of providing information from the video content of all the cameras in the form of either keyframes or video segments. This paper presents an overview of the existing strategies proposed for MVS, including their advantages and drawbacks. Our survey covers the genericsteps in MVS, such as the pre-proce…

Multi-sensor managementComputer scienceFeature extraction02 engineering and technologycomputer.software_genre01 natural sciencesAutomatic summarizationFeatures fusionBig dataRedundancy (information theory)Multi-camera networksArtificial IntelligenceMulti-view video summarization0103 physical sciencesSignal ProcessingMachine learning0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionData mining010306 general physicscomputerVideo summarization surveySoftware
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Keyword Based Keyframe Extraction in Online Video Collections

2015

Keyframe extraction methods aim to find in a video sequence the most significant frames, according to specific criteria. In this paper we propose a new method to search, in a video database, for frames that are related to a given keyword, and to extract the best ones, according to a proposed quality factor. We first exploit a speech to text algorithm to extract automatic captions from all the video in a specific domain database. Then we select only those sequences (clips), whose captions include a given keyword, thus discarding a lot of information that is useless for our purposes. Each retrieved clip is then divided into shots, using a video segmentation method, that is based on the SURF d…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInformation retrievalbusiness.industryComputer sciencemedia_common.quotation_subjectShot (filmmaking)InformationSystems_INFORMATIONSTORAGEANDRETRIEVALFrame (networking)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionDomain (software engineering)Factor (programming language)Metric (mathematics)Quality (business)SegmentationArtificial intelligencebusinesscomputerSentencemedia_commoncomputer.programming_languageVideo Summarization Keyframe Extraction Automatic Speech Recognition YouTube Multimedia Collections
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Generating TV summaries for CE-devices

2002

Automatically generated summaries of TV content are indispensable for content selection and navigation in CE-devices. We show two different types of summaries: Short video trailers and visual overviews consisting of representative frames. The demo does not only show the feasibility of the proposed algorithms, but also shows how different types of generated summaries can be used in future CE-devices.

video summarizationInformation retrievalMultimediaContent analysisComputer scienceVideo indexingcomputer.software_genreVideo indexing; video summarizationcomputerSelection (genetic algorithm)
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