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Image Semantic Representation for Event Understanding | IEEE Conference Publication | IEEE Xplore

Image Semantic Representation for Event Understanding

Publisher: IEEE

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 ev...View more

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 Non-representative 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.
Date of Conference: 09-12 December 2019
Date Added to IEEE Xplore: 16 March 2020
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: Delft, Netherlands

References

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