Interestingness Dataset

by Claire-Hélène Demarty,Mats Sjöberg,Bogdan Ionescu,Thanh-Toan Do,Michael Gygli,Ngoc Q. K. DuongUnknown

Interestingness Dataset

The Interestingness Dataset is a collection of movie excerpts and key-frames and their corresponding ground-truth files based on the classification into interesting and non-interesting samples. It is intended to be used for assessing the quality of methods for predicting the interestingness of multimedia content. The data has been produced by the MediaEval 2016 Predicting Interestingness Task organizers and was used in the context of this benchmark. A detailed description of the benchmark can be found on our Data Description page. The license conditions are mentioned on the Download page.

Source
Publication

Dataset Attributes

Label SVG
TasksClassification
Label SVG
CategoriesMedia Interestingness
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SensorRGB Camera