Larsen & Toubro has been granted a patent for a method and system that assesses the quality of multimedia content. The process involves generating frames from the content, determining quality scores for each frame, and calculating an overall quality score, even in the absence of a reference video. GlobalData’s report on Larsen & Toubro gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Larsen & Toubro, Solar-powered EVs was a key innovation area identified from patents. Larsen & Toubro's grant share as of July 2024 was 33%. Grant share is based on the ratio of number of grants to total number of patents.
Method for assessing multimedia content quality
The patent US12075023B2 outlines a method and system for assessing the quality of multimedia content, which includes both video clips and images. The process begins with a quality assessment device receiving multimedia content captured from a media device, such as a mobile phone or television. The device generates multiple frames from the content based on specific attributes, including size and duration. For each frame, it determines a set of quality scores corresponding to various predefined quality parameters, which encompass both video and audio metrics. Notably, when a reference video is unavailable, the method involves creating a distorted image by adding noise to a frame, followed by calculating Mean-Subtracted Contrast-Normalized (MSCN) coefficients to derive feature vectors that contribute to an overall quality score for the multimedia content.
Additionally, the system allows for user input to select quality parameters and determines frames per second (FPS) based on the content's attributes. The quality parameters include metrics such as mean squared error (MSE), peak signal-to-noise ratio (PSNR), and various audio quality measures. The results of the assessment are compiled into a report that can be presented in either tabular or graphical format, providing a comprehensive representation of the quality scores for each frame and the overall multimedia content. This innovative approach aims to enhance the evaluation of multimedia quality, ensuring a more accurate and user-tailored assessment process.
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