This document summarizes research on real-time video copy detection algorithms using Hadoop. It discusses existing algorithms like TIRI-DCT and brightness sequence that have limitations such as being slow and inaccurate. The paper proposes implementing improved versions of these algorithms using Hadoop for faster search times. Fingerprint extraction and indexing techniques like inverted file-based similarity search and cluster-based similarity search are also summarized. The paper concludes that using Hadoop can significantly improve efficiency for processing large video datasets while optimizing algorithms for speed, accuracy and robustness against various attacks.