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Towards Personalized Image Captioning via Multimodal Memory Networks.

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    We introduce a new Context Sequence Memory Network (CSMN) for personalized image captioning. This model enhances hashtag prediction and social media post generation by incorporating user-specific context.

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    Area of Science:

    • Artificial Intelligence
    • Computer Vision
    • Natural Language Processing

    Background:

    • Personalized image captioning aims to generate descriptive text tailored to individual user preferences and historical data.
    • Existing methods often struggle to effectively integrate diverse contextual information for enhanced personalization.
    • Social media platforms require automated tools for tasks like hashtag prediction and post generation.

    Purpose of the Study:

    • To develop a novel model for personalized image captioning that accounts for user-specific context.
    • To apply personalized image captioning to automate social media tasks: hashtag prediction and post generation.
    • To introduce a new dataset and evaluate the proposed model's performance.

    Main Methods:

    • Propose the Context Sequence Memory Network (CSMN), a novel memory network architecture.
    • CSMN features include a multi-context repository, appending generated words for long-term memory, and a CNN memory structure for contextual understanding.
    • Utilize the InstaPIC-1.1M dataset (1.1M Instagram posts) and the YFCC100M dataset for evaluation.

    Main Results:

    • The CSMN model significantly enhances personalized image captioning performance compared to state-of-the-art models.
    • Demonstrated effectiveness in both hashtag prediction and social media post generation tasks.
    • Quantitative evaluations and user studies confirm the model's improvements.

    Conclusions:

    • The proposed CSMN effectively leverages user-specific context for personalized image captioning.
    • The novel memory network design offers superior context integration and long-term information capture.
    • CSMN provides a robust solution for automating social media content creation and analysis.