Dynamic Video Generation via Cached Chunk Reuse
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Solution Overview
Problem
Current methods for generating personalized videos and audio are computationally expensive due to the time-consuming rendering and encoding processes, which can be optimized by reusing previously rendered and encoded video and audio chunks.
Innovation Solution
A method involving partitioning the timeline into chunk descriptors, constructing identifiers for each chunk, querying a cache for pre-rendered and encoded chunks, and merging them to create personalized media, while avoiding redundant rendering and encoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If rendering and encoding operations are performed for each personalized video request, then video quality and customization are maintained, but computational cost and processing time increase significantly
Solution Approach 1:
The system pre-renders and pre-encodes video chunks in advance and stores them in a cache. When a personalized video request arrives, the system queries the cache for matching chunks and reuses them directly, avoiding the need to perform rendering and encoding operations at request time. This preliminary action significantly reduces both processing time and computational cost while maintaining video quality.
Solution Approach 2:
The system creates cached copies of rendered and encoded video chunks that can be reused across multiple personalized video requests. Instead of regenerating video content for each request, the system queries and retrieves matching chunks from the cache, effectively using copies to satisfy multiple demands without repeating the expensive rendering and encoding processes.
2Manufacturing precision
If all video chunks are rendered and encoded for every request, then video personalization accuracy is maintained, but processing time increases
Solution Approach 1:
The video is divided into discrete chunks that can be independently rendered, encoded, and cached. Each chunk represents a segment of the video timeline with specific parameters. When generating personalized videos, the system queries and assembles chunks from the cache based on the requested parameters, maintaining personalization accuracy while avoiding redundant processing of entire videos.
Solution Approach 2:
Video chunks are pre-rendered and pre-encoded with various parameter combinations and stored in the cache before requests arrive. This preliminary preparation allows the system to quickly assemble personalized videos by selecting and combining pre-processed chunks, significantly reducing processing time while maintaining the accuracy of video personalization.
3Productivity
If a cache system is implemented to store pre-rendered video chunks, then processing efficiency improves, but system complexity increases
Solution Approach 1:
The cache system stores video chunks segmented by timeline intervals and parameter combinations. Each chunk is independently identified and retrieved based on its parameters, allowing efficient assembly of personalized videos without requiring complex inter-chunk dependencies. This segmentation simplifies the cache management architecture while improving retrieval efficiency.
Solution Approach 2:
The cache system serves multiple functions: storing pre-rendered chunks, enabling quick retrieval for various personalized video requests, and supporting different query parameters. This multi-functional cache architecture improves overall system efficiency without requiring separate systems for each function, thereby limiting the increase in system complexity.
Data Source
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AI summary
The present invention provides a method for generating customized dynamic video, said method comprising the steps of: partitioning customized dynamic video's timeline, using a predefined partition scheme, into a series of chunk descriptors, each defined by an interval of the timeline and corresponding to a video chunk of the customized dynamic video; for each chunk descriptor, constructing an identifier based on a set of parameters that represent visual characteristics of the video chunk, and associating said identifier to the chunk descriptor; for each chunk descriptor, querying a cache of previously rendered and encoded video chunks for a video chunk indexed by the identifier matching that of the chunk descriptor; in the case that a video chunk whose identifier matches the queried identifier is found, retrieving said video chunk from the cache; otherwise, rendering and encoding the video chunk, for the chunk descriptor's timeline interval, and saving said video chunk in the cache, indexed by the identifier.