Published Paper Details:

The project aims to improve the safety and appropriateness of video content for young children by using an automated content analysis system specifically designed for YouTube. It works by comparing a variety of video elements - such as text content, visual sceneries, frame sequences, audio qualities, and color usage - to predetermined standards. Rapid frame changes, unsettling noises, excessive use of vivid colors, improper language or conversation, and disagreeable graphic components are just a few examples of the potentially hazardous or inappropriate information that the system effectively recognises and filters out. The last Filtering Module evaluates all of the analyzer outputs together, allowing for a thorough decision - making process to establish video appropriateness. This technology plays a vital part in ensuring a secure online environment for young viewers by utilizing a comprehensive approach and advanced content analysis tools, giving parents and guardians greater trust in their children's online video experiences.