: The network runs expensive computations only on occasional "key frames".

Understand how these features are used in or security video analysis? Deep Feature Flow for Video Recognition - GitHub

: Because these features represent "knowledge," they can often be repurposed for different but related tasks. Deep Feature Flow (DFF)

: Features are extracted without manual programming, capturing the most relevant information for a specific task. Hierarchical Structure :

: This drastically reduces the processing power needed compared to evaluating every single frame.

A is a high-level data representation learned by the intermediate layers of a deep neural network . Unlike "handcrafted" features designed by humans (like color or texture), these are automatically optimized during training to recognize complex hierarchical patterns. Core Characteristics