Scalable Media Decoding with Secure Segment-Based Transcoding
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Solution Overview
Problem
Current data delivery systems face challenges in scaling data efficiently and securely across heterogeneous networks with varying capabilities, as conventional transcoding methods are computationally intensive and compromise security by requiring decryption of encrypted data.
Innovation Solution
The development of devices and methods that can scale scalable media data without knowledge of the encoding scheme, using scalable profile data to identify and extract independently decodable and encryptable data segments, allowing for secure and efficient transcoding without decrypting the data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional transcoding operations are performed on encrypted data, then data can be scaled for different client capabilities, but security is compromised because decryption is required at each transcoder
Solution Approach 1:
The patent segments the encoded data stream into multiple independently decodable parts, each with its own encryption. This allows selective processing of individual segments without requiring decryption of the entire stream, enabling transcoding while maintaining security. Each segment can be independently scaled and re-encrypted without exposing the full data stream.
Solution Approach 2:
The patent performs preliminary encoding and segmentation of data into independently decodable parts before transmission. This preliminary structuring allows intermediate nodes to perform transcoding operations on specific segments without needing to decrypt the data, as the segment boundaries and decoding requirements are predetermined.
2Productivity
If new encoding standards like JPEG2000 are introduced, then compression efficiency improves, but all network nodes and client devices must be updated to maintain compliance
Solution Approach 1:
The patent segments data into independently decodable parts that can be processed with different decoding capabilities. This allows a mix of legacy and modern encoding standards to coexist in the network, as different segments can use different encoding schemes without requiring all nodes to support all standards.
Solution Approach 2:
The patent creates a universal data structure where encoded data can be segmented and processed by various decoding capabilities. The segmentation framework itself is universal and can accommodate multiple encoding standards, allowing the system to function with both legacy and modern devices simultaneously.
3Adaptability or versatility
If transcoding is performed at intermediate network nodes, then system scalability improves, but computational load on transcoder nodes increases substantially
Solution Approach 1:
The patent extracts only the necessary portions of encoded data that need to be processed for specific transcoding operations. By working with individual segments rather than entire data streams, the computational load on intermediate nodes is reduced while still achieving the required scaling functionality.
Solution Approach 2:
The patent applies partial action by processing only specific segments of the data stream at each intermediate node rather than performing complete transcoding operations on the entire stream. This reduces the computational burden on each node while maintaining overall system scalability.
Data Source
AI summary
The present invention relates to media data decoding devices. Embodiments of the present invention pertain to devices that receive scalable media, receive scalable profile data, and generate rendered media data based on the scalable media data and the scalable profile data.