2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI) 2014
DOI: 10.1109/cbmi.2014.6849824
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Scalable video summarization of cultural video documents in cross-media space based on data cube approach

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Cited by 2 publications
(3 citation statements)
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“…The approach was tested on the 14 representative audio-visual documents from 14 categories of the INA dataset (see Section IV.A). In case of scalable navigation, the recall-precision figures in terms of correspondence of automatically generated summary with regard to the human annotation reported in [11] are balanced and are both close to 70% in average.…”
Section: Integration Level: Component -Datacube Productionmentioning
confidence: 66%
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“…The approach was tested on the 14 representative audio-visual documents from 14 categories of the INA dataset (see Section IV.A). In case of scalable navigation, the recall-precision figures in terms of correspondence of automatically generated summary with regard to the human annotation reported in [11] are balanced and are both close to 70% in average.…”
Section: Integration Level: Component -Datacube Productionmentioning
confidence: 66%
“…For the color, we used the well-known MPEG-7 features such as Color Structure Descriptor (CSD) [12] and Scalable Color Descriptor (SCD) [13]. Structural features used are Pyramidal Histograms of Oriented Gradients (PHOG) as described in [11].…”
Section: Integration Level: Component -Key Frames Featuresmentioning
confidence: 99%
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