What is it about?
A Search User Interface (SUI) based approach provides the nonlinear reachability of image results via interactive exploration and visualization options. The approach utilizes a cluster-graph data model to represent image objects as nodes and multimodal similarity relationships as edges. Image results in cluster-graph are non-linearly reachable. The users can look up, explore, and navigate the image result clusters in an integrated way. A full-fledged image results exploration tool is developed based on our approach, instantiated on a real image dataset, and evaluated via multiple standard usability tests.
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Why is it important?
This research aims to enable the non-linear exploration of image results by exploiting a particular architecture, graph-data model, and algorithms. We focused on a comprehensive SUI approach to explore and visualize images in an interactive, integrated, and usable way. The objective is to depict the comparative SUI designs, time analysis, and human behavioral aspects while exploring the images via the proposed approach.
Perspectives
It was a delightful experience to write this article, given that I collaborated with co-authors whom I have been working with for a considerable period. This article will aid researchers in investigating more approaches in the context of the nonlinear exploration of multimedia content.
Maha Saddal
Quaid-i-Azam University
Read the Original
This page is a summary of: An SUI-based approach to explore visual search results cluster-graphs, PLoS ONE, January 2023, PLOS,
DOI: 10.1371/journal.pone.0280400.
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