CONVERTING TEXT DATA TO VIDEO DATA USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Smart overview of the Invention

The patent application introduces methods and systems for converting text data into video data using artificial intelligence (AI) techniques. This process involves transforming text associated with a task into multiple action statements that describe user performance of the task. AI techniques are then employed to generate video data from these action statements, which are compiled into video sequences representing action workflows for task execution. The system can also execute automated actions based on the generated video sequences.

Field and Background

This innovation belongs to the field of information processing systems, focusing on data conversion within such systems. Traditional methods of support often rely on technical text, which can be difficult for users to understand, leading to errors and resource wastage. The proposed system addresses these issues by providing visual interpretations of tasks, making it easier for users to comprehend and perform complex actions without extensive technical knowledge.

Significance and Advantages

The described embodiments offer significant advantages over conventional support techniques by reducing misunderstandings and inefficiencies. By automatically converting text data into video data, the system enhances user understanding and reduces the likelihood of errors. This approach is beneficial in various scenarios where users require clear guidance on performing specific tasks, particularly in technical and complex environments.

System Configuration

The system is designed to operate within a networked environment, comprising user devices connected to a network that includes an automated video data generation system. User devices can be any computing devices like mobile phones, laptops, or desktops. The network may be part of larger networks such as the Internet or local enterprise networks. The system leverages storage solutions like NAS or SANs for storing action-related dictionary databases that assist in generating video content.

Components and Implementation

Key components of the automated video data generation system include a text data processor, a video data creation engine, and an automated action generator. These components may be implemented as software modules executed by processors within the system. The flexibility in design allows for various configurations, enabling integration with different network setups and processing platforms. This modular approach ensures adaptability to diverse technological environments.