Photo Gallery Navigation Using Spatial Orientation Data
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Solution Overview
Problem
In crime scene investigation, existing methods for documenting and navigating digital images of evidence from multiple angles and distances can result in unclear correlations and require multiple interactions to view desired angles, leading to a suboptimal viewing experience for investigators.
Innovation Solution
A system and method for creating a profile dataset that includes image association and view orientation data for each digital image, allowing for navigation between images based on predefined view characteristics and user gestures, ensuring all prescribed views are captured and displayed in an organized manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If photos are taken from multiple angles and distances to capture complete evidence views, then the completeness of documentation is improved, but the complexity of navigating and correlating these photos increases
Solution Approach 1:
The patent segments the photo collection into organized groups based on spatial relationships and view characteristics. Each photo is tagged with metadata indicating its position, angle, and relationship to other photos, allowing investigators to navigate through structured collections rather than unsorted batches, thus reducing navigation complexity while maintaining complete documentation
Solution Approach 2:
The patent introduces an intermediary photo gallery system that acts as a mediator between the raw photo collection and the investigator. This system automatically correlates photos based on spatial orientation data and view characteristics, presenting them in a logically organized sequence that simplifies navigation while preserving the complete set of evidence views
2Ease of manufacture
If photos are organized by timeline or location, then the organizational structure is improved, but the ability to quickly access related views from different angles deteriorates
Solution Approach 1:
The patent adds a new dimension to photo organization by incorporating spatial orientation and view characteristic metadata. Instead of organizing photos solely by one-dimensional criteria like timeline or location, the system uses multi-dimensional tagging that includes camera angle, zoom level, and positional relationships, enabling investigators to access related views from multiple organizational perspectives simultaneously
Solution Approach 2:
The patent creates a universal photo gallery system that can organize and access photos through multiple criteria simultaneously. The same photo collection can be navigated by timeline, location, spatial relationships, or view characteristics depending on the investigator's needs, making the system adaptable to different workflow requirements without sacrificing ease of access to related views
3Measurement precision
If multiple user interface interactions are required to navigate between photos, then the precision of photo selection is improved, but the time required to review evidence increases
Solution Approach 1:
The patent performs preliminary actions by automatically analyzing and tagging photos with spatial orientation data and view characteristics during the photo import process. This pre-processing correlates photos based on their spatial relationships and organizational criteria before the investigator needs to review them, so that when the investigator accesses the gallery, photos are already organized and related views are easily identifiable, reducing both interaction steps and review time while maintaining precise selection capability
Data Source
AI summary
Systems and methods for processing digital image data representing multiple views of an object of interest use a sparse set of digital images along with object of interest profiling to provide a photo gallery for evidence-related workflows. Digital images are related to each other on the basis of common objects of interest represented in the images and their orientations within the views depicted in each image. Object of interest profile datasets, including spatial orientation data, enable efficient tracking of photography sessions in which a set of prescribed views of an object of interest are meant to be captured, as well as object-orientation-based photo gallery navigation. The systems recognize of a set of physical gestures that enable a user to intuitively navigate among digital images depicting different views of an object of interest based on how they were physically related to each other when captured.