Recipe-Based Chunk Alignment for Video Clip Generation
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Solution Overview
Problem
Existing technologies face challenges in efficiently generating and delivering aligned data chunks for improved server performance when handling large video streams and other data sources, leading to suboptimal memory usage and increased request times.
Innovation Solution
The implementation of recipes that define data-source tasks with chunk-aligned slices, allowing for precise alignment of data within server memories, thereby optimizing memory access and reducing the likelihood of data replacement, and enhancing caching performance by specifying slices as sequences of data elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is extracted from video streams without chunk alignment, then data extraction flexibility is maintained, but memory access efficiency deteriorates and server performance decreases
Solution Approach 1:
The patent segments video data into fixed-size chunks that align with memory boundaries. Each chunk is independently addressable and can be efficiently stored and retrieved from server memory. This segmentation enables parallel processing of multiple chunks and optimizes memory access patterns, directly improving server performance while maintaining manageable complexity through standardized chunk handling procedures
Solution Approach 2:
The system performs preliminary chunk alignment and preprocessing of video data before it reaches the server. Data is pre-organized into fixed-size chunks with proper memory alignment, so that when requests arrive, the server can directly access pre-positioned data without complex real-time alignment operations. This preliminary action eliminates the need for complex runtime data extraction operations
2Quantity of substance
If traditional data extraction methods are used, then implementation simplicity is maintained, but memory usage efficiency deteriorates and data replacement frequency increases
Solution Approach 1:
The patent changes the fundamental parameter of data organization from arbitrary extraction to fixed-size chunk alignment. By standardizing data size to match memory page boundaries and using consistent chunk dimensions, the system optimizes memory utilization and reduces wasted space. This parameter change improves memory usage efficiency while the standardized approach actually simplifies implementation through predictable, uniform data structures
Solution Approach 2:
The system creates standardized chunk copies that can be efficiently cached and reused. Instead of extracting arbitrary data portions, the system works with replicated fixed-size chunks that can be stored in cache memory and served repeatedly without regeneration. This copying approach improves memory efficiency through better cache utilization and reduces the frequency of data replacement operations
3Loss of energy
If chunk-aligned slices are implemented, then caching performance is improved and network bandwidth requirements are reduced, but data structure complexity increases
Solution Approach 1:
The patent merges multiple small data requests into single chunk-aligned operations. By aligning data slices with chunk boundaries, the system can fulfill multiple client requests using complete chunks rather than requiring multiple partial reads. This merging reduces the total number of memory access operations and network transmissions, lowering bandwidth requirements while the chunk alignment actually simplifies data structure management through uniform boundaries
Solution Approach 2:
The system ensures continuous efficient data delivery by pre-aligning chunks and maintaining ready-state cached copies. Once chunks are aligned and cached, they can be continuously served to multiple clients without re-alignment operations or data reorganization. This continuous serving capability improves network efficiency by eliminating repeated alignment overhead and reduces bandwidth usage through effective caching utilization
Data Source
AI summary
Methods and devices are described for generating a recipe for creating a clip. A clip request may be received at a server, such as a content server. The clip request may be related to a clip including audio and/or video. The server may include one or more processors and a cache, the cache including chunks. Each chunk may store a predetermined positive number of bytes of data. The server may search the cache to determine whether the clip is to be generated from a recipe stored within the cache. The recipe may include one or more tasks. The server may generate the clip in view of the one or more tasks of the recipe. The server may transmit a clip response comprising the clip to the client device.