HEVC Image Composition with Tile Metadata for Region Extraction
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Solution Overview
Problem
The existing Image File Format for still images, particularly HEVC still images, lacks effective methods for describing and extracting regions of interest and supporting tiling, which is essential for efficient storage and access of high-resolution images.
Innovation Solution
The proposed solution involves encapsulating an encoded bitstream representing one or more images by providing descriptions of images and sub-image pictures, composing picture descriptions for formed images or sub-images, and outputting the bitstream with these descriptions as an encapsulated data file. This includes providing tile description information, tile picture item information, and reference information linking the tile picture items to the tile description information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution images are stored as complete images, then image quality is preserved, but storage efficiency and access speed deteriorate
Solution Approach 1:
The patent divides high-resolution images into multiple tiles or regions, allowing selective storage and access of image portions. Each tile can be independently encoded and stored, enabling efficient random access to specific regions without loading the entire high-resolution image, thus improving storage efficiency and access speed while maintaining image quality where needed.
2Manufacturing precision
If complete image descriptions are provided, then image fidelity is maintained, but metadata complexity and processing overhead increase
Solution Approach 1:
The patent segments image descriptions into tile-level metadata rather than requiring complete image descriptions. Each tile has its own simplified metadata structure containing only the necessary information for that region, reducing overall metadata complexity and processing overhead while maintaining fidelity through selective reconstruction of complete images when needed.
Solution Approach 2:
The patent applies different levels of description quality to different regions based on their importance. Critical regions can have higher fidelity descriptions while less important regions use compressed or lower-resolution representations, optimizing the balance between image fidelity and metadata complexity through localized quality adjustment.
3Productivity
If tile-based storage is implemented, then access efficiency to regions of interest improves, but file format complexity increases
Solution Approach 1:
The patent implements a universal tile structure that can represent different types of image regions (complete images, regions of interest, cropped regions) using the same basic tile metadata framework. This multi-functional approach enables efficient access to various region types without requiring separate complex file formats for each case, balancing access efficiency with manageable file format complexity.
Data Source
AI summary
A method of encapsulating an encoded bitstream representing one or more images includes providing description of images and/or sub-image picture, providing composed picture description, and outputting the bitstream. The description of images and/or sub-image pictures identifying portions of the bitstream representing the images and/or sub-images of the one or more images is provided. The composed picture description of at least one composed picture formed by one or more images and/or sub-image pictures also is provided. The bitstream, together with the composed picture description, is output as an encapsulated data file.