Amnet: Memorability estimation with attention
In this paper we present the design and evaluation of an end to end trainable, deep neural
network with a visual attention mechanism for memorability estimation in still images. We …
network with a visual attention mechanism for memorability estimation in still images. We …
VideoMem: Constructing, analyzing, predicting short-term and long-term video memorability
R Cohendet, CH Demarty… - Proceedings of the …, 2019 - openaccess.thecvf.com
Humans share a strong tendency to memorize/forget some of the visual information they
encounter. This paper focuses on understanding the intrinsic memorability of visual content …
encounter. This paper focuses on understanding the intrinsic memorability of visual content …
Annotating, understanding, and predicting long-term video memorability
Memorability can be regarded as a useful metric of video importance to help make a choice
between competing videos. Research on computational understanding of video …
between competing videos. Research on computational understanding of video …
Deep learning for predicting image memorability
H Squalli-Houssaini, NQK Duong… - … on acoustics, speech …, 2018 - ieeexplore.ieee.org
Memorability of media content such as images and videos has recently become an
important research subject in computer vision. This paper presents our computation model …
important research subject in computer vision. This paper presents our computation model …
Memorability: An image-computable measure of information utility
The pixels in an image, and the objects, scenes, and actions that they compose, determine
whether an image will be memorable or forgettable. While memorability varies by image, it is …
whether an image will be memorable or forgettable. While memorability varies by image, it is …
A framework of joint low-rank and sparse regression for image memorability prediction
Image memorability is to measure the degree to which an image is remembered. Generally
image memorability prediction involves two steps: feature representation and prediction …
image memorability prediction involves two steps: feature representation and prediction …
Memorable maps: A framework for re-defining places in visual place recognition
This paper presents a cognition-inspired agnostic framework for building a map for Visual
Place Recognition. This framework draws inspiration from human-memorability, utilizes the …
Place Recognition. This framework draws inspiration from human-memorability, utilizes the …
[HTML][HTML] Emotional modulation of memorability in mnemonic discrimination
F Morales-Calva, SL Leal - Neurobiology of Learning and Memory, 2024 - Elsevier
Although elements such as emotion may serve to enhance or impair memory for images,
some images are consistently remembered or forgotten by most people, an intrinsic …
some images are consistently remembered or forgotten by most people, an intrinsic …
[PDF][PDF] The Predicting Media Memorability Task at MediaEval 2019.
In this paper, we present the Predicting Media Memorability task, which is running for the
second year at the MediaEval 2019 Benchmarking Initiative for Multimedia Evaluation …
second year at the MediaEval 2019 Benchmarking Initiative for Multimedia Evaluation …
Visual totality of rewards-based crowdfunding pitch videos: Disentangling the impact of peak negative affective visual expression on funding outcomes
In this study, we introduce visual totality of a crowdfunding pitch video which considers not
only visual segments with human faces but also segments without human faces. Drawing …
only visual segments with human faces but also segments without human faces. Drawing …