Digital Media Message Engine Segmentation and Rendering
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Solution Overview
Problem
Existing electronic device messaging applications are limited in combining diverse digital content segments, such as audio, video, and images, leading to increased file size, memory requirements, and network strain, which hinders performance and makes sharing cumbersome.
Innovation Solution
The system allows users to generate digital media messages by combining various content segments, including replacing video segments with images, reducing file size and memory needs, and enabling real-time uploading and rendering through a media message engine on both devices and servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users combine multiple digital content segments (audio, video, images) in messaging applications, then the richness and integration of digital messages is improved, but the file size and memory requirements increase significantly
Solution Approach 1:
The patent segments digital content into distinct types (audio segments, video segments, image segments, text segments) and processes them independently through separate rendering paths. This allows the system to handle each segment type efficiently based on its specific characteristics, reducing overall file size while maintaining integration capability.
Solution Approach 2:
The system dynamically changes rendering parameters based on content type and context. For example, video segments may be rendered at lower resolutions or frame rates when combined with other content types, and audio segments may be compressed using different codecs. This parameter optimization reduces file size while preserving essential quality.
2Adaptability or versatility
If users combine multiple digital content segments in messaging applications, then the richness and integration of digital messages is improved, but network bandwidth consumption and device resource strain increase
Solution Approach 1:
The patent implements segmentation of both content and processing operations. Different content segments are uploaded and rendered independently, allowing parallel processing and reducing network congestion. This modular approach prevents any single large file from overwhelming network or device resources.
Solution Approach 2:
The system performs preliminary actions by pre-processing and compressing content segments before upload. Video segments are encoded to smaller file sizes in advance, and metadata is generated beforehand to facilitate efficient rendering. This reduces the computational burden during actual message transmission and display.
3Device complexity
If traditional rendering processes wait until message composition is complete, then the simplicity of the rendering process is maintained, but the upload and rendering time is prolonged
Solution Approach 1:
The patent implements preliminary rendering by starting the upload and rendering process of content segments before the user finishes composing the message. As users add content segments, the system immediately begins processing those segments in the background, significantly reducing the perceived wait time while maintaining manageable complexity through asynchronous processing.
Solution Approach 2:
The system maintains continuous useful action by overlapping message composition, content upload, and rendering operations. Multiple processes run concurrently - users can continue composing while uploads progress and rendering begins. This continuous parallel execution minimizes total time without requiring complex coordination.
4Reliability
If large audio and video files are stored locally on user devices, then the quality and completeness of digital content is preserved, but device memory capacity is consumed and handling becomes cumbersome
Solution Approach 1:
The patent extracts the need for local storage by implementing a cloud-based architecture where content segments are uploaded to and stored on remote servers. Users' devices only retain lightweight references or thumbnails, not the full-resolution audio and video files. This extraction of storage responsibility from local devices preserves content quality through centralized high-capacity storage while dramatically easing local device handling.
Solution Approach 2:
The system uses copying by storing full-quality master copies of content segments on servers while creating smaller local copies or references on user devices. These local copies suffice for composition and preview, while the authoritative high-quality versions reside remotely. This copying strategy maintains content reliability through master copies while improving ease of operation through lightweight local representations.
Data Source
AI summary
A method includes capturing a digital content segment, generating a first identifier, and associating the first identifier with a digital image in the memory of an electronic device. The method also includes generating a second identifier and associating the second identifier with a digital content segment in the memory. The method further includes transferring at least one of the digital image and the digital content segment to a server computer via a network, wherein the first identifier is transferred in association with the digital image and the second identifier is transferred in association with the digital content segment. The method also includes generating an electronic file providing a sequential clip listing associated with rendering a digital media message. The electronic file includes the first and second identifiers, a first indicator identifying a first frame of the digital media message, and a second indicator identifying a second frame of the digital media message.