Improving video browsing with an eye-tracking evaluation of feature-based color bars

This paper explains a method for leveraging the standard video time line widget as an interactive visualization of image features. An eye-tracking experiment is described with results that indicate that such a widget increases task efficiency without increasing complexity while being easily learned...

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Bibliographische Detailangaben
1. Verfasser:	Moraveji, Neema
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Bars Computer science control theory systems Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems > Video segmentation Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks > Video summarization Computing methodologies > Artificial intelligence > Computer vision > Image and video acquisition Exact sciences and technology Image segmentation Information systems Information systems. Data bases Layout Memory organisation. Data processing Multimedia systems Navigation Permission Software Software libraries User interfaces Visualization
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Beschreibung
Zusammenfassung:	This paper explains a method for leveraging the standard video time line widget as an interactive visualization of image features. An eye-tracking experiment is described with results that indicate that such a widget increases task efficiency without increasing complexity while being easily learned by experiment participants .
DOI:	10.1145/996350.996363