In this paper, we propose a new multi-modal deep learning framework with a visual modality
and a textual modality for video game genre classification. The proposed framework consists …

Texture or repeating patterns, discriminative patches, and shapes are the salient features for
various document image analysis problems. This article proposes a deep network …

Despite the idiom not to prejudge something by its outward appearance, we consider deep
learning to learn whether we can judge a book by its cover or, more precisely, by its text and …

This study analyzes the relationship between non-verbal information (eg, genres) and text
design (eg, font style, character color, etc.) through the classification of book genres using …

Book covers are intentionally designed and provide an introduction to a book. However, they
typically require professional skills to design and produce the cover images. Thus, we …

Oftentimes, patterns can be represented through different modalities. For example, leaf data
can be in the form of images or contours. Handwritten characters can also be either online or …

In this paper, we consider the two algorithms of generating artwork covers based on texts or
audio file features. The resulting image is combined from existing images labelled with …

As larger multimodal datasets are becoming available on the web, the possibility for better,
more human-like multimodal models grows. My research goal is to evaluate what …

Penelitian ini bertujuan untuk mengembangkan sebuah model klasifikasi menggunakan
arsitektur ResNet34 dengan algoritma Convolutional Neural Network (CNN) untuk …

This study analyzes the relationship between non-verbal information (eg, genres) and text
design (eg, font style, character color, etc.) through the classification of book genres using …