# Recognizing and Curating Photo Albums via Event-Specific Image Importance

arXiv: https://arxiv.org/abs/1707.05911 · HTML: https://mlsanity.com/paper/1707.05911/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Jul 2017.

## Built on by (most cited first, 2 of 2)

- [PETA: Photo Albums Event Recognition using Transformers Attention](https://mlsanity.com/paper/2109.12499/) (2021)
- [Personal AI Agent for Camera Roll VQA](https://mlsanity.com/paper/2606.05275/) (2026)

## Abstract (arXiv)

Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collection, and selecting interesting images from the collection. In this paper, we attempt to simultaneously solve both tasks: album-wise event recognition and image- wise importance prediction. We collected an album dataset with both event type labels and image importance labels, refined from an existing CUFED dataset. We propose a hybrid system consisting of three parts: A siamese network-based event-specific image importance prediction, a Convolutional Neural Network (CNN) that recognizes the event type, and a Long Short-Term Memory (LSTM)-based sequence level event recognizer. We propose an iterative updating procedure for event type and image importance score prediction. We experimentally verified that image importance score prediction and event type recognition can each help the performance of the other.