This research report and software implementation delve into video comparison techniques, focusing on mean frame extraction and key feature extraction within the Video Stream Matching (VSM) system. While the initial classification relies on a statistical approach, further improvements are needed, particularly in handling highly dynamic shots. Future work involves extensive testing with varied video datasets, exploration of motion-based features, and extension of similarity analysis to entire video sequences. With a shift towards video consumption, especially through mobile platforms, VSM emerges as a vital solution for managing video databases, highlighting the need for continued development in database design.
