In this work we investigated the suitability of Key Frame Extraction solutions in embedded architectures for mobile platforms. In particular, in our scenario the list of key frames is requested right after a shooting session ends. The most interesting outcome has been the evaluation of performances in User Generated Content scenarios through an extensive survey based on Opinion Scores, interviews and other minor metrics testing five different solutions. Results suggest that pursuing sophisticated algorithms doesn't necessarily enrich the end user experience. We hope that this work will contribute to stimulate the debate on the KFE also in realistic scenarios and to pay attention to the user feedbacks to drive the investigation. © 2014 Springer International Publishing.
CITATION STYLE
Sentinelli, A., & Celetto, L. (2014). Live key frame extraction in user generated content scenarios for embedded mobile platforms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8325 LNCS, pp. 291–302). https://doi.org/10.1007/978-3-319-04114-8_25
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