Document Video Generation via Scene Segmentation and Audio Synthesis
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Solution Overview
Problem
Conventional methods for conveying information from documents, such as electronic documents, lack an effective way to visually and succinctly present content, making it difficult for viewers to quickly grasp the core information.
Innovation Solution
A video generation method that extracts content information from documents, populates it into a preset video template, generates image and audio information for each scene, and combines these to create a video that visually represents the document's content, improving display effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If document content is displayed in electronic document form or summary words, then information can be conveyed, but the display effect is insufficient and core information is difficult to grasp quickly
Solution Approach 1:
The patent transforms static document content into dynamic video format, adding temporal and visual dimensions to information presentation. By converting text and summary words into moving images with scenes, transitions, and audio narration, the system creates a multi-dimensional display that enhances information comprehension and retention while maintaining the core content integrity.
Solution Approach 2:
The patent divides document content into multiple scenes and segments for structured presentation. Each scene represents a specific portion of the document content, allowing viewers to process information in manageable chunks. The video template includes multiple scenes that can be independently populated and presented sequentially, improving the ease of grasping core information through segmented delivery.
2Loss of information
If conventional electronic document display methods are used, then information can be conveyed, but the visual presentation is insufficient and engaging
Solution Approach 1:
The patent transforms static document content into dynamic video format, adding temporal and visual dimensions to information presentation. By converting text and summary words into moving images with scenes, transitions, and audio narration, the system creates a multi-dimensional display that enhances information comprehension and retention while maintaining the core content integrity.
Solution Approach 2:
The patent creates a video copy of the document content that preserves the original information while presenting it in a more engaging visual format. The video template is populated with content extracted from the document, creating a faithful visual reproduction that maintains information accuracy while dramatically improving display effectiveness and viewer engagement.
3Productivity
If large quantities of documents are reviewed in conventional form, then comprehensive analysis is possible, but time consumption is excessive
Solution Approach 1:
The patent enables rapid periodic review of multiple documents through video format. Each document can be converted into a standardized video template that can be quickly played, paused, and compared. This periodic visual presentation allows reviewers to efficiently scan through large quantities of documents, grasping core information from each in a fraction of the time required for traditional reading.
Solution Approach 2:
The patent transforms static document content into dynamic video format, adding temporal and visual dimensions to information presentation. By converting text and summary words into moving images with scenes, transitions, and audio narration, the system creates a multi-dimensional display that enhances information comprehension and retention while maintaining the core content integrity.
Data Source
AI summary
This disclosure provides a video generation method, a video generation apparatus, an electronic device, a storage medium and a program product, and relates to the field of artificial intelligence technology, and in particular to the field of computer vision technology and deep learning technology. A specific implementation includes: obtaining document content information of a document; extracting, from the document content information, populating information for multiple scenes in a preset video template; populating the populating information for the multiple scenes into corresponding scenes in the preset video template, respectively, to obtain image information of the multiple scenes; generating audio information of the multiple scenes according to the populating information for the multiple scenes; generating a video of the document based on the image information and audio information of the multiple scenes.