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Video fingerprinting is a technique in which software identifies, extracts, and then compresses characteristic components of a video, enabling that video to be uniquely identified by its resultant “fingerprint”. Video fingerprinting is technology that has proven itself to be effective at identifying and comparing digital video data. Video fingerprinting analysis may be based on any number of visual video features including, but not limited to, key frame analysis, color, and motion changes during a video sequence. ==Principles behind video fingerprinting technology== Video fingerprinting methods extract several unique features of a digital video that can be stored as a fingerprint of the video content. The evaluation and identification of video content is then performed by comparing the extracted video fingerprints. For digital video data, both audio and video fingerprints can be extracted, each having individual significance for different application areas. The creation of a video fingerprint involves the use of software that decodes the video data and then applies several feature extraction algorithms. Video fingerprints are highly compressed when compared to the original source file and can therefore be easily stored in databases for later comparison. They may be seen as an extreme form of lossy compression and cannot be used to reconstruct the original video content. The huge number of videos currently available (thanks to the development of user generated content sites (UGC sites)) presents video fingerprinting technologies with a scalability challenge. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Digital video fingerprinting」の詳細全文を読む スポンサード リンク
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