New patents are issued by the USPTO on Tuesdays. Today's Spotlight Patents concern aspects of digital fingerprinting and digital watermarking. Assigned the Qatar Foundation (QA), the first patent addresses techniques to store video fingerprints on distributed nodes in cloud systems. Assigned to Ningbo University (CN), the second patent addresses techniques for zero-watermarking registration and detection method for HEVC video streaming against requantization transcoding.
9,959,346, "System and method to store video fingerprints on distributed nodes in cloud systems," assigned to Qatar Foundation (QA).
A method to design, implement and create distributed indexes for storing and comparing fingerprints of videos is presented. The method effectively utilizes cloud computing platforms that offer varying amounts of computing resources. The method enables the distributed index to scale to large numbers of data points and the distributed index is robust to failures within the computing resources maintaining the index. The method minimizes the memory required to maintain the distributed index and reduces the I/O operations needed to process operations performed on the index. The method improves the efficiency of the index to process queries.
9,947,065, "Zero-watermarking registration and detection method for HEVC video streaming against requantization transcoding," assigned to Ningbo University (CN).
A zero-watermarking registration and detection method for HEVC video streaming against requantization transcoding is provided. To increase an attack-resistance of a registration watermarking, the registration method firstly processes depth values corresponding to respective brightness blocks in a target video streaming with a depth binarization during constructing registration watermarking information through depth features, because the depth binarization well reflects a robustness of the registration watermarking. A first watermarking information matrix including a part of the depth values after the depth binarization is encrypted with a random matrix, so as to increase a safety of the registration watermarking. The registration method directly generates zero-watermarking through the depth features of the video streaming without modifying original carrier information and affecting a watermarking transparency. Meanwhile, the registration method has a strong robustness against attacks, such as the requantization transcoding of quantization parameters within a certain range of variation and common signal processing.