US 2023/0147904 A1 · TECHNIQUES FOR GENERATING CANDIDATE MATCH CUTS

Abstract

In various embodiments, a match cutting application automatically generates candidate match cuts. In some embodiments, the match cutting application detects shot sequences within one or more video sequences, deduplicates the shot sequences, computes an encoding of each shot sequence after the deduplication, and compares the encodings associated with pairs of shot sequences using a distance metric to identify pairs of shot sequences that can be cut together to generate candidate match cuts. In addition, the match cutting application can apply an approximation technique, such as an approximate nearest neighbor search technique, to identify intermediate pairs of shot sequences prior to comparing encodings associated with the intermediate pairs of shot sequences.

Claims20

Dependent claims

A computer-implemented method, comprising:

detecting a plurality of shot sequences within one or more video sequences;
generating, for each shot sequence included in the plurality of shot sequences, an encoding associated with the shot sequence;
and
generating one or more candidate match cuts between one or more pairs of shot sequences based on the encodings associated with the plurality of shot sequences.

1 more element

One or more non-transitory computer-readable storage media including instructions that, when executed by at least one processor, cause the at least one processor to perform steps comprising:

detecting a plurality of shot sequences within one or more video sequences;
generating, for each shot sequence included in the plurality of shot sequences, an encoding associated with the shot sequence;
and
generating one or more candidate match cuts between one or more pairs of shot sequences based on the encodings associated with the plurality of shot sequences.

1 more element

Dependencies are inferred from the claim text.

Facts

Application

17/520,505Filed 5 Nov 2021

Published

11 May 2023

Term ends

Not estimatedThe source records don’t support an estimate.

Classification5 codes

G06V 20/49
In video content: segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or…
G06F 18/24147
Based on distances to training or reference patterns: distances to closest patterns, e.g. nearest neighbour classification
G06V 20/46
In video content: extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
G06V
Image and video recognition

Techniques for generating candidate match cuts

Life of this patent

Techniques for generating candidate match cuts

Life of this patent

Abstract

Claims20