Scene Change aware Inter-Frame Forgeries Detection Technique for Surveillance Videos Based on Similarities Analysis

Surveillance videos provide security and increases work efficiency in places of homes. as the most acceptable form evidence, surveillance are now tampered to hide actions or convey wrong information. Researchers have proposed ways mitigate effect activities attackers through checking authenticity video. The schemes suffer performance degradation presence scene changes. Recently a scheme that addresses effects change on inter-frame forgery detection was developed where it detects changes divides multiple scenes shots. improves overall at expense high average computational time. In this research, video aware is with low utilizes luminance level within frame region which more efficient feature detect change. experimental results show has 57% decreases time increased accuracy 99.03%.