Video Picture Area Rotation and Flipping for Better Compression
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Solution Overview
Problem
Existing video encoding and decoding technologies face challenges with increased decoding complexity, limited compression efficiency, and lack of flexibility, particularly in handling diverse video content such as gaming and vertical videos, leading to higher computational intensity and latency.
Innovation Solution
Applying a combination of flipping and rotation operations at the picture area level during pre-processing before encoding, allowing for hybrid conversion modes that include both flipping and rotation, to enhance encoding and decoding flexibility and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional raster scan encoding is used, then encoding process is simple, but compression efficiency is limited and adaptability to diverse video content is poor
Solution Approach 1:
The patent applies dynamic conversion mode selection where the encoder chooses from multiple flipping and rotation operations based on the characteristics of each picture area. This dynamic adaptation allows the encoding system to adjust to diverse video content types (gaming, vertical videos, etc.) while maintaining manageable complexity through a structured set of predefined conversion modes.
Solution Approach 2:
The patent changes the orientation parameters of picture areas by applying flipping and rotation operations. By modifying these geometric parameters adaptively based on content characteristics, the system achieves better compression efficiency for diverse video content while keeping the transformation operations computationally efficient.
2Productivity
If picture area conversion with flipping and rotation is applied, then compression efficiency is improved, but decoding complexity increases
Solution Approach 1:
The patent performs flipping and rotation operations as preliminary actions during the encoding phase. By pre-converting picture areas to optimal orientations before encoding, the system achieves better compression efficiency while the decoder only needs to apply corresponding inverse operations, keeping decoding complexity manageable.
Solution Approach 2:
The conversion mode information acts as an intermediary that guides both encoding and decoding processes. The encoder selects and applies a conversion mode, embeds this mode information in the bitstream, and the decoder uses this intermediary information to apply the corresponding inverse transformation, ensuring synchronized processing without excessive complexity.
3Adaptability or versatility
If hybrid conversion modes combining flipping and rotation are used, then flexibility and adaptability are enhanced, but computational intensity increases
Solution Approach 1:
The patent segments the video picture into multiple picture areas and applies conversion modes independently to each segment. This segmentation allows flexible adaptation to different content characteristics in different regions while limiting computational intensity by processing smaller, manageable segments rather than the entire picture at once.
Solution Approach 2:
The patent creates a universal set of conversion modes that can handle various video content types (gaming, vertical videos, traditional content) through a unified framework of flipping and rotation operations. This multi-functional approach enhances encoding flexibility across diverse content while avoiding the need for content-specific complex processing.
4Adaptability or versatility
If conversion operations are applied to picture areas, then adaptability to vertical videos and gaming content is improved, but latency increases
Solution Approach 1:
The patent applies asymmetric conversion operations (flipping and rotation) that are specifically tailored to match the directional characteristics of different video content types. For vertical videos, vertical flipping or rotation aligns the content optimally, while for gaming content, specific orientation adjustments improve compression. These asymmetric transformations are computationally efficient and reduce latency compared to more complex adaptive methods.
Data Source
AI summary
A method for decoding a video picture from a bitstream of encoded video picture data includes: obtaining a decoded video picture by decoding encoded video picture data from a bitstream of encoded video picture data; and obtaining a video picture by de-converting, according to a conversion mode, at least one picture area of the decoded video picture, wherein the conversion mode defines a combination of at least one flipping operation and at least one rotation operation to the picture are.


