6 Seconds of Sound and Vision: Creativity in Micro-Videos
This addresses the challenge of analyzing creativity in short online videos for social media platforms, representing an incremental advance in multimedia content analysis.
The paper tackles the problem of automatically detecting creative micro-videos by defining creativity as novelty and aesthetic value, creating a dataset of over 3,800 labeled videos, and proposing computational features that achieve promising classification accuracy.
The notion of creativity, as opposed to related concepts such as beauty or interestingness, has not been studied from the perspective of automatic analysis of multimedia content. Meanwhile, short online videos shared on social media platforms, or micro-videos, have arisen as a new medium for creative expression. In this paper we study creative micro-videos in an effort to understand the features that make a video creative, and to address the problem of automatic detection of creative content. Defining creative videos as those that are novel and have aesthetic value, we conduct a crowdsourcing experiment to create a dataset of over 3,800 micro-videos labelled as creative and non-creative. We propose a set of computational features that we map to the components of our definition of creativity, and conduct an analysis to determine which of these features correlate most with creative video. Finally, we evaluate a supervised approach to automatically detect creative video, with promising results, showing that it is necessary to model both aesthetic value and novelty to achieve optimal classification accuracy.