@FilmorBroadcast{MatosNasc:2022:MuApAc,
             director = "Matos, Diognei and Nascimento, Erickson R.",
             keywords = "computer vision, music emotion recognition, image emotion 
                         recognition, semantic hyperlapse.",
                  ibi = "8JMKD3MGPEW34M/47QSKHH",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/47QSKHH",
          seriestitle = "Conference on Graphics, Patterns and Images, 35 (SIBGRAPI)",
             synopsis = "With the advance in technology and social media usage, 
                         first-person recording videos has become a common habit. These 
                         videos are usually very long and tiring to watch, bringing the 
                         need to speed up them. Despite recent progress of fast-forward 
                         methods, they do not consider inserting background music in the 
                         videos, which could make them more enjoyable. This thesis presents 
                         a new method that creates accelerated videos and includes the 
                         background music keeping the same emotion induced by visual and 
                         acoustic modalities. Our approach is based on the automatic 
                         recognition of emotions induced by music and video contents and an 
                         optimization algorithm that maximizes the visual quality of the 
                         output video and seeks to match the similarity of the music and 
                         the video's emotions. Quantitative results show that our method 
                         achieves the best performance in matching emotion similarity while 
                         maintaining the visual quality of the output video compared with 
                         other literature methods. Visual results can be seen through the 
                         link: https://youtu.be/9ykQa9zhcz8.",
           targetfile = "Supplementary Video.mp4",
                title = "Musical Hyperlapse: A Multimodal Approach to Accelerate 
                         First-Person Videos",
         yearreleased = "2022",
        urlaccessdate = "2024, May 19"
}