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Image Captioning in news report scenario

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arxiv 2403.16209 v3 pith:ML3R6V64 submitted 2024-03-24 cs.CV cs.AI

Tianrui Liu , Qi Cai , Changxin Xu , Bo Hong , Jize Xiong , Yuxin Qiao , Tsungwei Yang This is my paper · ORCID
classification cs.CVcs.AI
keywords newscaptioningimagecaptionsendeavorimagesinformationrealm
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Image captioning strives to generate pertinent captions for specified images, situating itself at the crossroads of Computer Vision (CV) and Natural Language Processing (NLP). This endeavor is of paramount importance with far-reaching applications in recommendation systems, news outlets, social media, and beyond. Particularly within the realm of news reporting, captions are expected to encompass detailed information, such as the identities of celebrities captured in the images. However, much of the existing body of work primarily centers around understanding scenes and actions. In this paper, we explore the realm of image captioning specifically tailored for celebrity photographs, illustrating its broad potential for enhancing news industry practices. This exploration aims to augment automated news content generation, thereby facilitating a more nuanced dissemination of information. Our endeavor shows a broader horizon, enriching the narrative in news reporting through a more intuitive image captioning framework.

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  1. ReCap: Event-Aware Image Captioning with Article Retrieval and Semantic Gaussian Normalization

    cs.CV 2025-09 conditional novelty 4.0 of 10

    A two-stage DINOv2 retrieval and Qwen3 LLM pipeline with a CIDEr-aware length normalizer achieved 2nd place in the EVENTA 2025 event-captioning challenge.

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