Towards Enhancing the Media Industry Through AI-Driven Image Recommendations

被引:1
|
作者
Raptis, George E. [1 ]
Theodorou, Vasilis [1 ]
Katsini, Christina [1 ]
机构
[1] Human Opsis, Patras, Greece
关键词
Image Recommendation; Artificial Intelligence; Image-to-text Matching; Content Creation; Media Industry; Computer Vision;
D O I
10.1007/978-3-031-42293-5_75
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In a fast-changing media ecosystem, professionals and enterprises in the News and Media industry face new challenges that they should address to maximize their productivity and improve their services. The rise of alternative news sources, such as social media, the leading news source, especially for young people, has led to emerging requirements in the News and Media industry. A core requirement is publishing articles as fast as possible on various platforms, combining visual and textual content. Accompanying news with images raises the readers' interest, improves engagement, and recall. Therefore, the News and Media industry professionals must adapt their publication strategies to meet this requirement and the media consumers' expectations. However, the selection of the appropriate images is a time-consuming and manual task. Towards this direction, we propose VIREO, which addresses this challenge by providing professionals (e.g., journalists) with an integrated digital solution that automatically recommends a collection of images that could accompany an article. VIREO implements text and image analysis and matching processes leveraging AI techniques in real time to achieve this. VIREO aims to benefit both professionals (e.g., journalists) by suggesting appealing images that accompany the textual content of their articles and create breath-taking stories and the media consumers (e.g., readers) by delivering an enhanced reading experience, engagement, and recall.
引用
收藏
页码:574 / 579
页数:6
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