US 12,445,684 B2
Content category based media clip generation from media content using machine learning (ML) model
Sankar Shanmugam, Bengaluru (IN); Vijayalakshmi Padmanaban, Bengaluru (IN); Balaji Janakiraman, Bengaluru (IN); and Abilash Rajarethinam, Bengaluru (IN)
Assigned to SONY GROUP CORPORATION, Tokyo (JP)
Filed by SONY GROUP CORPORATION, Tokyo (JP)
Filed on Jul. 6, 2023, as Appl. No. 18/347,911.
Prior Publication US 2025/0016411 A1, Jan. 9, 2025
Int. Cl. H04N 21/458 (2011.01); H04N 21/44 (2011.01); H04N 21/45 (2011.01); H04N 21/466 (2011.01); H04N 21/472 (2011.01)
CPC H04N 21/458 (2013.01) [H04N 21/44008 (2013.01); H04N 21/4532 (2013.01); H04N 21/4666 (2013.01); H04N 21/4667 (2013.01); H04N 21/472 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An electronic device, comprising:
circuitry configured to:
receive media content having a length of a first time duration;
receive a second time duration smaller than the first time duration;
determine a description of a first media portion of the received media content;
receive a user input indicative of a set of content categories associated with the received media content;
apply a first machine learning (ML) model on the received media content, based on the received user input;
generate a media clip from the received media content, based on the application of the first ML model, wherein
the first media portion is a portion of the received media content that is excluded in the media clip generated from the received media content,
the description of the first media portion is an audio description of the excluded portion of the received media content,
a first amplitude of the audio description of the excluded portion is smaller than a second amplitude of audio associated with the generated media clip, and
a length of the media clip generated from the received media content corresponds to the received second time duration; and
display the media clip, generated from the received media content, on a display device.