Embedded key frame extraction in UGC scenarios
Alexandro Sentinelli, Luca Celetto, Gustavo Marfia, Marco Roccetti · 2013
Video summarization is an old problem that offers a wide variety of scenarios and approaches. In this work we investigated the suitability of Key Frame Extraction (KFE) 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 (UGC) scenarios through an extensive survey based on Opinion Scores, interviews and other minor metrics. We tested five different solutions and 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.