Moving Image Content Editing via Speech-Image Mapping
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Solution Overview
Problem
Users face difficulty in effectively selecting and editing multimedia content due to the lack of comfortable and familiar techniques for detailing content, as existing methods simply combine existing media without providing clear editing information.
Innovation Solution
An apparatus and method for editing moving image content using image and speech data of a person, where the image and speech are mapped, frames are selected based on voice data variations, and edited content is created using a template tailored to the type of content, incorporating text converted from voice data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing media combination techniques are used, then content can be edited, but users cannot effectively select and understand content details in a comfortable and familiar manner
Solution Approach 1:
The patent segments the moving image content into individual frames and identifies key elements within each frame (such as persons, objects, actions). This segmentation allows the system to present content details in a structured, manageable way that helps users understand and select content effectively, rather than presenting raw unprocessed media.
Solution Approach 2:
The patent introduces an intermediary processing system that analyzes moving image content, extracts meaningful information (frames, persons, speech), and presents it in a user-friendly format. This intermediary layer bridges the gap between raw media files and user comprehension, enabling effective content selection while maintaining detail clarity.
2Loss of information
If moving image content is analyzed frame by frame with speech and image mapping, then detailed editing information is provided, but processing time and complexity increase
Solution Approach 1:
The patent performs preliminary analysis of the moving image content by pre-identifying persons, extracting speech data, and mapping images to speech before the actual editing process. This preliminary action creates a structured database of content elements that can be quickly accessed and manipulated during editing, reducing processing time while maintaining detailed information.
Solution Approach 2:
The patent extracts only the essential and relevant information from the moving image content (key frames, person images, speech data) rather than processing every detail equally. This selective extraction provides sufficient editing information while significantly reducing processing time and computational complexity.
3Measurement precision
If voice data is used to determine scenes and select frames, then content selection accuracy improves, but processing complexity increases
Solution Approach 1:
The patent replaces manual scene and frame selection with automated voice-based analysis. By using speech data to automatically determine scenes and select relevant frames, the system achieves high selection accuracy without requiring complex manual analysis or user intervention, thereby managing processing complexity through intelligent automation.
Data Source
AI summary
A system and a method for editing moving image content are provided. The method includes acquiring moving image content, mapping an image of a person included in the moving image content and speech data of the person, selecting at least one frame among frames included in the moving image content, and creating edited content of the moving image content using the mapped image and speech data, and the selected at least one frame.