# Visual Summary of Egocentric Photostreams by Representative Keyframes

arXiv: https://arxiv.org/abs/1505.01130 · HTML: https://mlsanity.com/paper/1505.01130/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 May 2015.

## Built on by (most cited first, 1 of 1)

- [Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis](https://mlsanity.com/paper/2208.13954/) (2022)

## Abstract (arXiv)

Building a visual summary from an egocentric photostream captured by a lifelogging wearable camera is of high interest for different applications (e.g. memory reinforcement). In this paper, we propose a new summarization method based on keyframes selection that uses visual features extracted by means of a convolutional neural network. Our method applies an unsupervised clustering for dividing the photostreams into events, and finally extracts the most relevant keyframe for each event. We assess the results by applying a blind-taste test on a group of 20 people who assessed the quality of the summaries.