Digital Asset Management via Identification Data Exchange
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Solution Overview
Problem
Conventional media production systems face challenges in efficiently retrieving and managing digital assets, particularly in identifying and acquiring specific digital assets with desired quality and compression schemes from distributed storage devices.
Innovation Solution
A system comprising a terminal device and a server device that utilize identification data to transmit and receive digital asset use feature information and entity information, allowing for the determination of suitable digital assets based on quality and compression scheme criteria, enabling efficient acquisition of desired digital assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If identification data is transmitted to a server device to retrieve digital asset information, then the accuracy of identifying specific digital assets with desired quality and compression schemes is improved, but the communication time and data transmission overhead increase
Solution Approach 1:
The terminal device transmits identification data in advance to the server device before actual asset retrieval, allowing the server to prepare and cache the required use feature information and entity information. This preliminary action reduces the response time when the terminal needs to access the digital asset, as the information is already prepared and available for immediate transmission.
Solution Approach 2:
The server device creates and transmits copies of the use feature information and entity information to the terminal device. Instead of the terminal querying the server repeatedly for the same information, the server provides local copies that the terminal can store and use independently, reducing subsequent communication overhead and improving access speed.
2Loss of information
If detailed use feature information and entity information are transmitted from server to terminal, then the completeness of digital asset metadata is improved, but the data transmission volume and network bandwidth consumption increase
Solution Approach 1:
The server device extracts and transmits only the essential use feature information (quality, compression scheme) and entity information (storage location, file format) that are most critical for digital asset retrieval and management. By selecting and transmitting only these key metadata elements rather than complete asset data, the system maintains metadata completeness while minimizing network bandwidth consumption.
Solution Approach 2:
The system transmits different types of information with different levels of detail based on local needs. The use feature information provides quality characteristics needed for asset selection, while entity information provides storage details needed for retrieval. This localized information quality approach ensures each terminal receives precisely the metadata completeness it needs without unnecessary data overhead.
3Ease of operation
If the terminal device stores multiple pieces of stored data locally, then the accessibility of digital assets is improved, but the storage space requirements and device complexity increase
Solution Approach 1:
The server device acts as an intermediary between the terminal device and the distributed storage devices. It manages the complexity of locating and retrieving digital assets from multiple storage locations, while the terminal device only needs to store and manage the relatively small use feature information and entity information locally. This intermediary approach improves asset accessibility without significantly increasing terminal storage requirements or management complexity.
Solution Approach 2:
The system separates the storage dimension from the access dimension. Multiple pieces of stored data are distributed across different storage devices in the network, but the terminal device stores only the metadata (use feature information and entity information) locally. This dimensional separation allows the terminal to have quick local access to asset information while the actual asset data remains distributed across the network, improving accessibility without burdening terminal storage capacity.
Data Source
AI summary
Some embodiments may include a transmitting unit which transmits, when one or more pieces of stored data each being an entity at storage of a digital asset are respectively stored in one or more data storage devices, identification data for uniquely identifying the digital asset to a server device; and a receiving unit which receives, from the server device, digital asset use feature information indicating a feature during use of the digital asset uniquely identified by the identification data transmitted by the transmitting unit, and digital asset entity information indicating an entitative feature of each of the one or more pieces of stored data each being an entity at storage of the digital asset uniquely identified by the identification data.