Content-Based Video Semantic Analysis

Low Level Video Feature Extraction And Representation

Generally speaking, low-level feature representation includes visual feature extraction, description, dimension reduction and indexing. After the video is segmented and key frames are chosen, low-level image features can be extracted from these key frames. Low-level visual features such as color, texture, edge and shapes can be extracted from the key frame set in video and represented as feature descriptors. After post-processing on the feature descriptors such as dimension reduction, they can be stored in the database using indexing models for future queries. There are two categories of visual features: global features that are extracted from a whole image, and local or regional features that describe the chosen patches of a given image.