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We present a new approach for video summarization and browsing of MPEG-2 compressed video based on the growing cell structures (GCS) neural algorithms. It first applies GCS to select keyframes for each shot and then clusters them using TreeGCS to form a hierarchical view of the video for efficient browsing. The keyframe selection is based on histogram features of the dc-images for T frames. It captures well the video content and outperforms two other approaches. The main advantage of the TreeGCS module is the ability to form dynamically a flexible hierarchy depending on the video content.