Advanced search
Start date
Betweenand


Image Semantic Representation for Event Understanding

Full text
Author(s):
Rodrigues, Caroline Mazini ; Pereira, Luis ; Rocha, Anderson ; Dias, Zanoni ; IEEE
Total Authors: 5
Document type: Journal article
Source: 2019 IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS); v. N/A, p. 6-pg., 2019-01-01.
Abstract

Different events, such as terrorist acts and natural catastrophes, frequently occur across the world. The availability of images on the internet can help to understand events. However, manually selecting representative (helpful) images from a massive amount of data can be infeasible. Here, we propose an image semantic representation method that helps to understand the discrimination of Representative Images (RI) from Nonrepresentative Images (NRI). Our method, called Event Semantic Space (ESS), generates a low-dimensional image representation by exploiting the semantics of some images with high representativeness and some representative components of the events (e.g., places, objects, and people). Results on three real-world events attest the capability of our method to represent events, outperforming three image descriptors individually in ranking tasks and presenting capability of learning patterns of Representative Images. (AU)

FAPESP's process: 17/12646-3 - Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events
Grantee:Anderson de Rezende Rocha
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 15/11937-9 - Investigation of hard problems from the algorithmic and structural stand points
Grantee:Flávio Keidi Miyazawa
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 13/08293-7 - CCES - Center for Computational Engineering and Sciences
Grantee:Munir Salomao Skaf
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 17/16246-0 - Sensitive media analysis through deep learning architectures
Grantee:Sandra Eliza Fontes de Avila
Support Opportunities: Regular Research Grants
FAPESP's process: 18/16548-9 - Learning Visual Clues of the Passage of Time
Grantee:Luis Augusto Martins Pereira
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 18/16214-3 - Heterogeneous data analysis for event detection
Grantee:Caroline Mazini Rodrigues
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 17/16871-1 - Problems of sorting permutations by fragmentation-weighted operations
Grantee:Alexsandro Oliveira Alexandrino
Support Opportunities: Scholarships in Brazil - Master