Automatic Image Album Titling via Temporal Context
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Solution Overview
Problem
Conventional techniques do not provide an efficient method for giving a title to a collection of image data that is appropriate for the time and location range of the images, requiring users to manually determine and record titles for albums, which is cumbersome.
Innovation Solution
A titling apparatus and method that includes units for storing and judging image capturing time and location, using terminology databases to automatically generate titles based on the image capturing period and season, and outputting titles with images, allowing for automatic and proper titling of image collections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If automatic titling is implemented for image collections, then user effort and time are reduced, but the complexity of the titling system increases
Solution Approach 1:
The titling system is segmented into distinct functional modules: image capturing time storing unit, image capturing period judging unit, period terminology storing unit, and titling unit. Each module handles a specific aspect of the titling process, making the overall complex system manageable and maintainable while providing automatic titling functionality.
Solution Approach 2:
The period terminology storing unit acts as an intermediary between the image capturing period judging unit and the titling unit. It stores pre-prepared terminology related to periods and seasons, which is then automatically selected and applied to generate titles, bridging the gap between raw image data and meaningful titles.
2Manufacturing precision
If manual titling is performed for each image in an album, then title accuracy is improved, but productivity decreases
Solution Approach 1:
The system enables self-service automatic titling by utilizing metadata (image capturing time) that is already embedded with each image. The image capturing period judging unit automatically extracts this information, and the titling unit generates appropriate titles without requiring manual user input, thus maintaining productivity while achieving acceptable accuracy.
Solution Approach 2:
The period terminology storing unit performs preliminary action by pre-storing terminology related to periods and seasons before the titling process begins. This preparation allows the titling unit to quickly and accurately generate titles by simply selecting from pre-prepared terminology based on the image capturing period, improving both speed and consistency.
3Ease of operation
If generic titles are used for all images, then ease of operation is improved, but information quality deteriorates
Solution Approach 1:
The system applies local quality by generating titles that are specific to each image's capturing context rather than using uniform generic titles. The image capturing period judging unit determines the specific period for each image, and the titling unit applies appropriate terminology from the period terminology storing unit, ensuring each title reflects the local characteristics of that particular image collection.
Solution Approach 2:
The system utilizes parameter changes in image capturing time to generate varied and context-appropriate titles. By analyzing the time parameters of when images were captured, the image capturing period judging unit can determine different periods and seasons, which then trigger different terminology selections from the period terminology storing unit, resulting in diverse and informative titles.
Data Source
AI summary
An apparatus for giving a title to a captured image includes a unit for storing a captured image group including a plurality of captured images, a unit for storing an image capturing time when each of the stored images is captured, a unit for judging an image capturing period and an image capturing season including the stored image capturing time, a unit for storing terms respectively related to a plurality of periods with different time widths each of which includes a period and a season, the term corresponding to the period and the season, and a unit for giving a title to the stored captured image group by using a term related to a period of a wider time width out of the stored terms as a difference between the image capturing time and either the image capturing season or the acquired output time, whichever is longer.