Adaptive Motion JPEG Encoding via Dynamic Huffman Table Updates
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Solution Overview
Problem
Traditional Motion JPEG encoding methods based on Canonical Huffman encoding either fail to utilize frame correlation, leading to unsatisfactory compression results or incur high system overhead due to repeated scanning of frames.
Innovation Solution
An adaptive Motion JPEG encoding method that updates the Huffman description table using the occurrence frequencies of encoded symbols from each frame, allowing for dynamic adaptation and efficient encoding of subsequent frames, thereby reducing redundant information and improving compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the same Huffman description table is used to encode each frame, then the encoding process is simple and system memory usage is low, but the compression result is not satisfactory because frame correlation is not utilized
Solution Approach 1:
The Huffman description table is transformed from a static structure used across all frames to a dynamic structure that is updated frame by frame. The patent implements a sliding window mechanism where the Huffman table is reconstructed based on symbol frequencies from recent frames, allowing the encoding scheme to adapt to changing frame characteristics while maintaining the benefits of Huffman encoding.
Solution Approach 2:
The patent changes the parameters of the Huffman description table based on frame correlation. By analyzing symbol occurrence frequencies in recent frames and reconstructing the Huffman table accordingly, the system adjusts the encoding parameters to match the actual data distribution, thereby improving compression efficiency without significantly increasing complexity.
2Loss of information
If the Huffman description table is updated by scanning twice in the same frame, then the compression efficiency is improved, but the system overhead increases significantly
Solution Approach 1:
The patent performs preliminary frequency statistics collection during the first encoding pass, storing symbol frequencies in a buffer. This preliminary action allows the Huffman table to be reconstructed in a separate step without requiring a second scan of the original frame data, thereby reducing system overhead while maintaining compression efficiency.
Solution Approach 2:
The patent segments the Huffman encoding process into distinct phases: frequency statistics collection during encoding, separate Huffman table reconstruction using the collected statistics, and then encoding with the updated table. This segmentation allows each phase to be optimized independently, reducing overall system complexity.
3Loss of information
If frame correlation is utilized to update the Huffman description table, then compression efficiency is improved, but the encoding complexity and memory requirements increase
Solution Approach 1:
The patent implements a dynamic sliding window approach where only recent frame data is retained for frequency statistics. The window size is controlled to balance compression efficiency with memory constraints, allowing the system to adapt to frame correlation while maintaining reasonable memory usage.
Solution Approach 2:
The patent adjusts the parameters of the frequency statistics buffer, such as the number of frames to track and the resolution of frequency counting, to optimize the balance between compression efficiency and memory consumption. These parameters can be tuned based on available system resources.
Data Source
AI summary
An adaptive Motion JPEG encoding method is disclosed, including: acquiring a video sequence; encoding a current video frame of the video sequence into JPEG format based on a Huffman description table, generating encoded symbols corresponding to the current video frame and counting frequencies of occurrence of the encoded symbols corresponding to the current video frame; and updating the Huffman description table with Canonical Huffman encoding based on the frequencies of occurrence of the encoded symbols corresponding to the current video frame, the updated Huffman description table being used for encoding a next video frame adjacent to the current video frame of the video sequence into JPEG format. The adaptive Motion JPEG encoding method uses the correlation between the Huffman description tables of the adjacent frames to reduce the redundant information between the video frames. An adaptive Motion JPEG encoding system is also disclosed.