Encoding Indication for Selective Multilayer Video Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge of reducing decoding overhead in surveillance cameras, particularly in scenarios with multilayer video encoding, where unnecessary decoding overhead occurs due to the need to deeply parse video parameter sets in bitstreams, leading to increased network bandwidth consumption and reduced storage duration.
Innovation Solution
Implementing encoding indication information, such as SEI messages, to indicate bitstream types, allowing selective decoding of base and enhancement layers, thereby reducing unnecessary decoding and optimizing bandwidth and storage requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If deep parsing of video parameter sets is performed in multilayer video encoding, then video content can be fully decoded, but decoding overhead increases and network bandwidth consumption increases
Solution Approach 1:
The patent extracts and removes unnecessary decoding operations by introducing encoding indication information that allows the terminal to identify and skip parsing of video parameter sets when not needed. This extraction of unnecessary processing reduces decoding overhead while maintaining the ability to fully decode when required.
Solution Approach 2:
The patent implements dynamic decoding behavior where the terminal adjusts its parsing depth based on encoding indication information. The decoding process transitions from a static deep parsing approach to a dynamic approach that adapts to the actual encoding requirements, reducing overhead when full parsing is not necessary.
2Reliability
If deep parsing of video parameter sets is performed, then complete video content is obtained, but network bandwidth consumption increases
Solution Approach 1:
The patent extracts unnecessary parsing operations from the decoding process. By using encoding indication information to identify when full parameter set parsing is not required, the system reduces the quantity of data transmitted and processed over the network while maintaining sufficient video content for most applications.
Solution Approach 2:
The patent applies partial decoding action where the terminal performs only the necessary parsing operations required for the specific video content and application needs. This partial action approach reduces network bandwidth consumption compared to complete parsing, while still providing sufficient video content quality.
3Reliability
If deep parsing of video parameter sets is performed, then complete video parameter information is obtained, but storage duration decreases
Solution Approach 1:
The patent extracts unnecessary parameter parsing operations, allowing the system to store video content with reduced metadata overhead. This extraction of unnecessary parsing reduces the storage requirements and extends the effective storage duration for surveillance video content.
Solution Approach 2:
The patent implements partial parameter parsing where only the essential video parameters are decoded and stored, rather than all possible parameter information. This partial action approach reduces storage requirements and extends the retention period for surveillance footage.
Data Source
AI summary
Provided are methods and apparatuses for processing a bitstream, a terminal device and a storage medium The method for processing a bitstream includes acquiring an encoded bitstream, where the encoded bitstream includes encoding indication information, where the encoding indication information is used for indicating a bitstream type of the encoded bitstream; acquiring the encoding indication information; and decoding the encoded bitstream according to the encoding indication information.