CVOct 25, 2021

Detecting speaking persons in video

arXiv:2110.13806v1
Originality Synthesis-oriented
AI Analysis

This addresses the problem of identifying speakers in video for applications like video analysis or human-computer interaction, but appears incremental as it builds on existing landmark extraction methods.

The paper tackles the problem of detecting speaking persons in video by extracting facial landmarks with a neural network and analyzing them statistically over time, but no concrete results or numbers are provided in the abstract.

We present a novel method for detecting speaking persons in video, by extracting facial landmarks with a neural network and analysing these landmarks statistically over time

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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