Video Search-and-Replace Using Indexed Multimodal Elements
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Solution Overview
Problem
Editing digital videos is complex and time-consuming, particularly when specific portions need to be changed, requiring manual intervention and video editing skills.
Innovation Solution
A system and method for automatically identifying and replacing elements in a video using a search query, indexing various elements, and utilizing intersection over union to find matches, with reinforcement learning to improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual video editing methods are used to modify specific portions, then video editing precision can be achieved, but the time consumption and complexity increase significantly
Solution Approach 1:
The system generates a comprehensive video index in advance that segments the video into multiple elements (scenes, objects, text, audio) with their temporal locations. This preliminary organization allows rapid retrieval and precise identification of target portions without manual watching or searching, resolving the contradiction between precision and time consumption.
Solution Approach 2:
The patent introduces a video index as an intermediary data structure that mediates between the original video and the editing operations. The index contains pre-extracted elements and their metadata, enabling precise targeting of video portions through element-based search rather than manual review, thus achieving both precision and efficiency.
2Ease of operation
If manual video editing tools are used, then specific video portions can be modified, but the operation complexity and skill requirements increase
Solution Approach 1:
The system performs automatic video element identification, search, and replacement operations without requiring user expertise in video editing techniques. The automated engine handles the complex tasks of locating, selecting, and replacing video elements based on simple user queries, making the operation easy while managing the underlying complexity internally.
Solution Approach 2:
The patent replaces manual mechanical editing operations with an automated computational system. Instead of requiring users to manually navigate, search, and edit video portions, the system uses algorithmic processing to automatically identify and replace video elements based on element-based queries, substituting complex manual operations with automated intelligence.
3Productivity
If traditional video editing methods are used to locate and replace scenes, then video modification can be achieved, but the productivity decreases due to lengthy manual processes
Solution Approach 1:
The system segments the video into multiple discrete elements (scenes, objects, text overlays, audio segments) and creates an indexed structure of these elements. This segmentation allows the editing system to work with individual elements rather than the entire video, enabling rapid location and replacement operations that significantly improve productivity while managing complexity through structured organization.
Solution Approach 2:
The video index is generated in advance, pre-processing the video content into searchable elements with metadata including temporal locations, types, and characteristics. This preliminary action enables rapid querying and identification of target portions during editing, eliminating the need for manual video review and significantly boosting productivity while the system handles the computational complexity.
Data Source
AI summary
A system and method and for searching for an element in and replacement a portion of a video is conducted by retrieving the video and generating a video index for the video, the video index indexing a plurality of elements of the video such as text, audio and video. To search in the vide, a search query is received that includes at least one of a text element, an audio element, an image element, or a video element. Features and embeddings are extracted from the search query before comparing the search query features with the video index to identify a portion of the video that includes one of the text element, audio element, image element or video element of the search query. The identified portion is then automatically replaced with a replacement portion to generate a revised video.