712 research outputs found
Beat-Event Detection in Action Movie Franchises
While important advances were recently made towards temporally localizing and
recognizing specific human actions or activities in videos, efficient detection
and classification of long video chunks belonging to semantically defined
categories such as "pursuit" or "romance" remains challenging.We introduce a
new dataset, Action Movie Franchises, consisting of a collection of Hollywood
action movie franchises. We define 11 non-exclusive semantic categories -
called beat-categories - that are broad enough to cover most of the movie
footage. The corresponding beat-events are annotated as groups of video shots,
possibly overlapping.We propose an approach for localizing beat-events based on
classifying shots into beat-categories and learning the temporal constraints
between shots. We show that temporal constraints significantly improve the
classification performance. We set up an evaluation protocol for beat-event
localization as well as for shot classification, depending on whether movies
from the same franchise are present or not in the training data
Beat-Event Detection in Action Movie Franchises
While important advances were recently made towards temporally localizing and recognizing specific human actions or activities in videos, efficient detection and classification of long video chunks belonging to semantically defined categories such as “pursuit” or “romance” remains challenging.We introduce a new dataset, Action Movie Franchises, consisting of a collection of Hollywood action movie franchises. We define 11 non-exclusive semantic categories — called beat-categories — that are broad enough to cover most of the movie footage. The corresponding beat-events are annotated as groups of video shots, possibly overlapping.We propose an approach for localizing beat-events based on classifying shots into beat-categories and learning the temporal constraints between shots. We show that temporal constraints significantly improve the classification performance. We set up an evaluation protocol for beat-event localization as well as for shot classification, depending on whether movies from the same franchise are present or not in the training data
The Student Movement Volume 107 Issue 2: We Prayed, We Changed, We Glowed: Week Three at Andrews University
HUMANS
Change Day Interview: Jessica Bowen, Interviewed by: Gloria Oh
Interview with Brandon Alvarez, Interviewed by: Grace No
Meet Andrew Rappette, AUSA Executive Vice President, Interviewed by: Lauren Kim
ARTS & ENTERTAINMENT
Change Day: Art as a Service, Skyler Campbell
Currently..., Solana Campbell
Disney\u27s D23 Expo Concludes, Andrew Francis
In the Rick of Time: Season 6 Launces Off My 2022 School Year, Grace No
NEWS
Almost Anything Goes, Glow Edition, Yoel Kim & Editors
Lead Levels in Benton Harbor, Abigail Kim
Students React to Queen Elizabeth\u27s Passing, Andrew Francis
IDEAS
iOS 16 and the new iPhone: Bop or Flop?, Rachel Ingram-Clay
Meghan Markle and the British Media, Terika Williams
The Little Mermaid and the Importance of Representation, Genevieve Prouty
PULSE
Change Day 2022, Elizabeth Dovich
Clubs & Organizations Ice Cream Fair, Charisse Lapuebla
Scientists Engaging Beyond Classroom & Lab, Desmond Hartwell Murray
Divine Direction: Week of Prayer at Andrews University, Melissa Moore
LAST WORD
Thoughts at 30,000 Feet, Alannah Tjhatrahttps://digitalcommons.andrews.edu/sm-107/1001/thumbnail.jp
The Winonan
https://openriver.winona.edu/thewinonan1990s/1191/thumbnail.jp
The Winonan
https://openriver.winona.edu/thewinonan1990s/1191/thumbnail.jp
Analyzing compositional strategies in video game music
Composers of music for video games face a unique set of challenges, including issues of interactivity, non-linearity, diegesis, and versatility. This study explores several possible correlations among these challenges and the compositional strategies used to address them (i.e., thematic attachment, adaptive seaming, and deliberate silence). These approaches are analyzed across several popular gaming genres to determine how composers devise and implement a combination of compositional methods that most appropriately amplify the player's sense of immersion. With thematic attachment, for instance, the composer draws upon the player's feelings of nostalgia that are developed through their exposure to previous games within a franchise. To develop a greater understanding of the representation of musical genre, one-on-one interviews and written correspondence with selected game composers (Joshua Mancell, Martin O'Donnell, and Trevor Gureckis) working in targeted types of games provided evidence to suggest and explore specific techniques they used to develop greater diegesis and immersion. Current scholarship focuses primarily on the cultural and psychological implications and influences associated with video game music. Developing a greater understanding of these three strategies and their various forms of implementation expands and helps to standardize the field of ludomusicology within the broader discipline of musicology.Includes bibliographical references
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