HEIF Metadata Grouping for Albums, Tags, and Favorites
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Solution Overview
Problem
The High Efficiency Image File Format (HEIF) lacks mechanisms for logical grouping and signaling of entities such as albums, image tagging, and favorites, which affects its usability in social image applications and image management systems.
Innovation Solution
Introduce new grouping types and metadata structures, such as Logical Entity to Group Box, Logical Group Property, Tag Property, URL fragment schemes, and URL query strings, to enable logical grouping and signaling of entities within the HEIF container file format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If HEIF format uses basic box-structured structure, then file format compatibility and simplicity are maintained, but logical grouping and signaling of entities (albums, tags, favorites) cannot be performed
Solution Approach 1:
The patent implements nested metadata structures where GroupingInformationBoxes are contained within ItemInformationBoxes, which are themselves contained within ItemContainerBoxes. This nesting allows multiple levels of grouping information (albums, tags, favorites) to be stored hierarchically within the existing box structure, enabling complex logical grouping while maintaining format compatibility through the established container hierarchy.
Solution Approach 2:
The patent segments grouping information into distinct GroupingInformationBoxes that can be independently added to the metadata. Each box contains specific grouping attributes (album, tag, favorite) that can be processed separately, allowing the system to handle different types of logical grouping without requiring a complete restructuring of the metadata system.
2Loss of information
If HEIF format stores only basic media data, then file size is minimized, but external information storage (grouping, tagging) requires separate systems
Solution Approach 1:
The patent merges grouping information (albums, tags, favorites) directly into the HEIF container file by adding GroupingInformationBoxes to the metadata structure. This integration allows all information about media entities and their logical groupings to be stored in a single file, eliminating the need for separate external databases or file systems while maintaining efficient single-file access.
3Ease of operation
If HEIF format adds comprehensive metadata for social applications, then usability in image management systems improves, but processing and storage overhead increases
Solution Approach 1:
The patent implements optional GroupingInformationBoxes that can be added only when logical grouping functionality is needed. The metadata structure allows for partial implementation where only necessary grouping attributes are included based on the specific application requirements, avoiding the processing overhead of comprehensive metadata while maintaining usability where needed.
Data Source
AI summary
The embodiments relate to a method comprising receiving visual data from image capturing means, said visual data comprising a plurality of entities (510); processing the visual data to determine one or more grouping types for at least selected entities of said plurality of entities (520); storing said one or more grouping types as a metadata of a container file format, said one or more grouping types being associated with said selected entities (530); and including the metadata to a container file in association with said visual data (540).