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360 Quality & Efficiency
360 Quality & Efficiency
Dec 7, 2018 · Artificial Intelligence

Image Feature Extraction and Clustering for Key Frame Selection in Mobile App Installation Screenshots

This article presents a technical solution for extracting representative key frames from time‑series screenshots of a mobile app installation process, covering pixel sampling, dimensionality reduction, classic feature extractors (SIFT, HOG, ORB), auto‑encoder based deep learning, and clustering methods such as KMeans and DBSCAN, along with practical results and performance analysis.

AutoencoderComputer VisionHOG
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Image Feature Extraction and Clustering for Key Frame Selection in Mobile App Installation Screenshots