Abstract-This paper presents the core technologies of the Video Signature Tools recently standardized by ISO/IEC MPEG as an amendment to the MPEG-7 Standard (ISO/IEC 15938). The Video Signature is a high-performance content fingerprint which is suitable for desktop-scale to web-scale deployment and provides high levels of robustness to common video editing operations and high temporal localization accuracy at extremely low false alarm rates, achieving a detection rate in the order of 96% at a false alarm rate in the order of five false matches per million comparisons. The applications of the Video Signature are numerous and include rights management and monetization, distribution management, usage monitoring, metadata association, and corporate or personal database management. In this paper we review the prior work in the field, explain the standardization process and status, and provide details and evaluation results for the Video Signature Tools.
This paper presents a method of enhancing image quality based on the analysis of scene categories, and its practical software implementation. The proposed method analyzes the scene of input images and calculates the probabilities for five predetermined scene categories; i.e. "Portraits," "Landscapes," "Night scenes," "Flowers (close-up)" and "Others." The quality of the input image is improved by using multiple image-processing functions with correction parameters, which take the probabilities of the scene categories into consideration. Subjective experiments on image quality show the reliability of the proposed method.
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