{'fraction_non_alphanumeric': 0.020390070921985817, 'fraction_numerical': 0.0, 'mean_word_length': 4.880208333333333, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
The One Man Show

Traditional video mashup and summarization methods assume that all video clips have common audio, but with varying quality. Hence, selecting the best quality audio is sufficient. In this work we explore a new scenario in which a single person plays each instrument one by one, leading to multi-view video clips, but each video clip having only partial audio, e.g. a single instrument or vocal. To get the complete audio, we need to merge all partial audios. In this way, although the videos are recorded at different times, they correspond to a common timeline in the final mashup. The proposed framework automatically recognizes the type of instrument for a given audio clip and employs instrument specific enhancements before merging. To select video segments for the final mashup, the framework automatically recognizes the dominant instrument from given audio clips and selects the video capturing that instrument. The proposed framework enables a single artist to play instruments, add vocals, and act in the mashup video. The complete framework has been implemented in the form of an android application.