CVCRHCAug 1, 2018

Toward Multimodal Interaction in Scalable Visual Digital Evidence Visualization Using Computer Vision Techniques and ISS

arXiv:1808.00118v1
Originality Synthesis-oriented
AI Analysis

This addresses the need for more effective evidence visualization and management in forensic casework, though it appears incremental as it builds on existing systems like Forensic Lucid and ISS.

The paper tackles the problem of visualizing and managing digital evidence in forensic investigations by proposing a scalable system using the Illimitable Space System (ISS) with multimodal interaction techniques like gestures, eye-gaze, and audio, aiming to enhance usability and navigation for digital investigators.

Visualization requirements in Forensic Lucid have to do with different levels of case knowledge abstraction, representation, aggregation, as well as the operational aspects as the final long-term goal of this proposal. It encompasses anything from the finer detailed representation of hierarchical contexts to Forensic Lucid programs, to the documented evidence and its management, its linkage to programs, to evaluation, and to the management of GIPSY software networks. This includes an ability to arbitrarily switch between those views combined with usable multimodal interaction. The purpose is to determine how the findings can be applied to Forensic Lucid and investigation case management. It is also natural to want a convenient and usable evidence visualization, its semantic linkage and the reasoning machinery for it. Thus, we propose a scalable management, visualization, and evaluation of digital evidence using the modified interactive 3D documentary system - Illimitable Space System - (ISS) to represent, semantically link, and provide a usable interface to digital investigators that is navigable via different multimodal interaction techniques using Computer Vision techniques including gestures, as well as eye-gaze and audio.

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