Human + AI for Accelerating Ad Localization Evaluation
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912632325275648 |
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| author | Rajgarhia, Harshit Dalmia, Shivali Zhao, Mengyang Abhishek, Mukherji Ganesh, Kiran |
| author_facet | Rajgarhia, Harshit Dalmia, Shivali Zhao, Mengyang Abhishek, Mukherji Ganesh, Kiran |
| contents | Adapting advertisements for multilingual audiences requires more than simple text translation; it demands preservation of visual consistency, spatial alignment, and stylistic integrity across diverse languages and formats. We introduce a structured framework that combines automated components with human oversight to address the complexities of advertisement localization. To the best of our knowledge, this is the first work to integrate scene text detection, inpainting, machine translation (MT), and text reimposition specifically for accelerating ad localization evaluation workflows. Qualitative results across six locales demonstrate that our approach produces semantically accurate and visually coherent localized advertisements, suitable for deployment in real-world workflows. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2509_12543 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Human + AI for Accelerating Ad Localization Evaluation Rajgarhia, Harshit Dalmia, Shivali Zhao, Mengyang Abhishek, Mukherji Ganesh, Kiran Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Adapting advertisements for multilingual audiences requires more than simple text translation; it demands preservation of visual consistency, spatial alignment, and stylistic integrity across diverse languages and formats. We introduce a structured framework that combines automated components with human oversight to address the complexities of advertisement localization. To the best of our knowledge, this is the first work to integrate scene text detection, inpainting, machine translation (MT), and text reimposition specifically for accelerating ad localization evaluation workflows. Qualitative results across six locales demonstrate that our approach produces semantically accurate and visually coherent localized advertisements, suitable for deployment in real-world workflows. |
| title | Human + AI for Accelerating Ad Localization Evaluation |
| topic | Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning |
| url | https://arxiv.org/abs/2509.12543 |