Hint Based Adaptive Video Encoding for Static Area Optimization
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Solution Overview
Problem
Current video data encoding processes are time-consuming due to the need for extensive data compression, particularly when handling video content with both static and dynamic elements.
Innovation Solution
A device that utilizes metadata to identify static areas within video frames, allowing for efficient encoding by treating macroblocks entirely within static areas as unchanged from previous frames, thereby reducing the need for direct comparison and enhancing compression decisions based on the presence of regular video and graphics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional video encoding processes are used to ensure accurate compression, then compression quality is improved, but encoding time increases significantly
Solution Approach 1:
The system performs preliminary identification of static areas using metadata before the main encoding process. By pre-marking static regions, the encoder can skip detailed comparison operations in these areas during actual encoding, thus reducing encoding time while maintaining compression quality through selective application of encoding strategies.
Solution Approach 2:
The encoder applies different encoding strategies to different regions of the video frame based on static area identification. Static areas receive simplified encoding treatment while dynamic areas receive full encoding processing, optimizing the balance between compression quality and encoding speed by adapting the encoding approach to local content characteristics.
2Measurement precision
If comprehensive comparison of current and preceding macroblocks is performed to achieve accurate compression, then compression accuracy is improved, but processing speed decreases
Solution Approach 1:
Static area identification is performed in advance using metadata, creating a map that guides the comparison process. This preliminary action allows the encoder to skip unnecessary macroblock comparisons in static regions, improving processing speed while maintaining compression accuracy through targeted comparison in dynamic areas only.
Solution Approach 2:
The video frame is segmented into static and dynamic areas based on metadata analysis. This segmentation allows the encoder to apply different processing levels to different segments, performing comprehensive comparisons only in dynamic areas where accuracy is critical, while using simplified processing in static areas to boost overall processing speed.
3Reliability
If full encoding processing is applied to all macroblocks to ensure compression quality, then encoding thoroughness is improved, but time consumption increases
Solution Approach 1:
The encoder applies full thoroughness only to dynamic areas identified through metadata analysis, while using simplified encoding for static areas. This localized quality approach ensures reliable compression where needed (dynamic regions) while reducing time consumption in regions where full processing is unnecessary (static regions).
Solution Approach 2:
Instead of applying full encoding processing to all macroblocks, the system applies partial processing to static areas and full processing only to dynamic areas. This partial action strategy maintains encoding reliability for moving content while significantly reducing overall time consumption by avoiding excessive processing in static regions.
Data Source
AI summary
A device for encoding video image data includes a data receiver that receives a current image frame to be compressed, the current image frame being composed of a plurality of current macroblocks. An information receiver receives metadata that includes information that identifies static areas within the received current image frame. An encoder encodes each of the plurality of current macroblocks. The encoder encodes a current macroblock that is entirely within the static areas as having no difference from a corresponding preceding macroblock in a preceding frame by using an encoded macroblock that is created without comparing the current macroblock to the corresponding preceding macroblock. The metadata may include information that identifies regular video and graphics within the received current image frame and the encoder may make different compression decisions according to the inclusion of regular video and graphics within the current macroblock.