Object-Linked Image Navigation Using Primary and Secondary Views
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Solution Overview
Problem
Existing image browsing experiences on e-commerce and travel destination websites lack orchestration, making it difficult for viewers to identify the most informative images and navigate them in a meaningful order, leading to a confusing experience that may discourage purchases or travel bookings.
Innovation Solution
Analyze a set of images using object recognition algorithms to identify a primary image and secondary images with higher magnification, inserting links to navigate the images in an ordered manner based on object locations and relative orientations, and generate a conglomerate image if necessary, to provide an orchestrated viewing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a set of images is provided without orchestration, then the viewer can access all images, but the viewer experience becomes confusing and navigation becomes difficult
Solution Approach 1:
The system performs preliminary analysis of the image set before presentation to the viewer. It identifies the primary image and establishes the hierarchical relationships among images in advance, so that when the viewer accesses the images, the navigation structure is already optimized for intuitive understanding and efficient exploration.
Solution Approach 2:
The image set is segmented into a hierarchical structure with one primary image and multiple secondary images. This segmentation creates distinct navigation levels where the primary image serves as the entry point and secondary images are accessed based on their relevance to specific objects, thereby organizing the otherwise overwhelming set of images into manageable, purpose-driven groups.
2Ease of operation
If object recognition analysis is performed on all images to determine primary and secondary images, then image navigation is optimized, but processing time and computational resources increase
Solution Approach 1:
The system extracts only the essential information needed for navigation from the complete image set. Instead of analyzing all images equally, it identifies and extracts the primary image that best represents the subject matter, and then extracts secondary images that provide supplementary views of specific objects, thereby reducing the overall processing burden while maintaining navigation quality.
Solution Approach 2:
Different levels of analysis are applied to different images based on their role in the hierarchy. The primary image receives comprehensive analysis to ensure it captures the most important aspects, while secondary images receive more focused analysis on specific objects of interest. This local quality approach optimizes processing efficiency by avoiding uniform high-level analysis across all images.
Data Source
AI summary
A set of images is accessed from a server. The set is analyzed to identify objects in each image using object recognition algorithms. A primary image that includes more of the identified objects than any of the other images of the set is determined. For each of the identified objects in the primary image, a secondary image that includes the identified object and has a higher magnification than the primary image is determined. Links are inserted into the primary image at locations including an identified object that is also in a secondary image. The primary image is displayed and, upon receiving a selection of one of the links, the secondary image that includes the identified object at the location of the selected link is displayed. The set of images is ordered based on relative positions of the identified objects in each image and then linked together based on the ordering.