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Video ads segmentation and tagging is a challenging task due to two main reasons: (1) the video scene structure is complex and (2) it includes multiple modalities (e.g., visual, audio, text.). While previous work focuses mostly on activity…

Computer Vision and Pattern Recognition · Computer Science 2021-08-23 Tomoyuki Suzuki , Antonio Tejero-de-Pablos

The proliferation of creative video content has driven demand for textual descriptions or summaries that allow users to recall key plot points or get an overview without watching. The volume of movie content and speed of turnover motivates…

Artificial Intelligence · Computer Science 2024-10-29 Louis Mahon , Mirella Lapata

This paper proposes a practical multimodal video summarization task setting and a dataset to train and evaluate the task. The target task involves summarizing a given video into a predefined number of keyframe-caption pairs and displaying…

Computation and Language · Computer Science 2023-12-05 Keito Kudo , Haruki Nagasawa , Jun Suzuki , Nobuyuki Shimizu

We present a novel algorithm for estimating the broad 3D geometric structure of outdoor video scenes. Leveraging spatio-temporal video segmentation, we decompose a dynamic scene captured by a video into geometric classes, based on…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 S. Hussain Raza , Matthias Grundmann , Irfan Essa

Segmenting long-form videos into semantically coherent scenes is a fundamental task in large-scale video understanding. Existing encoder-based methods are limited by visual-centric biases, classify each shot in isolation without leveraging…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Nimrod Berman , Adam Botach , Emanuel Ben-Baruch , Shunit Haviv Hakimi , Asaf Gendler , Ilan Naiman , Erez Yosef , Igor Kviatkovsky

Many compelling video processing effects can be achieved if per-pixel depth information and 3D camera calibrations are known. However, the success of such methods is highly dependent on the accuracy of this "scene-space" information. We…

Computer Vision and Pattern Recognition · Computer Science 2021-02-08 Felix Klose , Oliver Wang , Jean-Charles Bazin , Marcus Magnor , Alexander Sorkine-Hornung

Scene understanding is essential for enhancing driver safety, generating human-centric explanations for Automated Vehicle (AV) decisions, and leveraging Artificial Intelligence (AI) for retrospective driving video analysis. This study…

Computer Vision and Pattern Recognition · Computer Science 2025-01-13 Mohammed Elhenawy , Huthaifa I. Ashqar , Andry Rakotonirainy , Taqwa I. Alhadidi , Ahmed Jaber , Mohammad Abu Tami

Much previous work has been done in attempting to identify humor in text. In this paper we extend that capability by proposing a new task: assessing whether or not a joke is humorous. We present a novel way of approaching this problem by…

Computation and Language · Computer Science 2019-09-04 Orion Weller , Kevin Seppi

Video captioning aims to automatically generate natural language sentences that can describe the visual contents of a given video. Existing generative models like encoder-decoder frameworks cannot explicitly explore the object-level…

Computer Vision and Pattern Recognition · Computer Science 2021-08-11 Yang Bai , Junyan Wang , Yang Long , Bingzhang Hu , Yang Song , Maurice Pagnucco , Yu Guan

AI-powered automatic camera scene detection mode is nowadays available in nearly any modern smartphone, though the problem of accurate scene prediction has not yet been addressed by the research community. This paper for the first time…

Image and Video Processing · Electrical Eng. & Systems 2021-05-18 Angeline Pouget , Sidharth Ramesh , Maximilian Giang , Ramithan Chandrapalan , Toni Tanner , Moritz Prussing , Radu Timofte , Andrey Ignatov

With the increase in video-sharing platforms across the internet, it is difficult for humans to moderate the data for explicit content. Hence, an automated pipeline to scan through video data for explicit content has become the need of the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-22 Shaunak Joshi , Raghav Gaggar

Vision-Language Models (VLMs) are able to process increasingly longer videos. Yet, important visual information is easily lost throughout the entire context and missed by VLMs. Also, it is important to design tools that enable…

Computation and Language · Computer Science 2026-01-09 Galann Pennec , Zhengyuan Liu , Nicholas Asher , Philippe Muller , Nancy F. Chen

Recent years have seen remarkable advances in visual understanding. However, how to understand a story-based long video with artistic styles, e.g. movie, remains challenging. In this paper, we introduce MovieNet -- a holistic dataset for…

Computer Vision and Pattern Recognition · Computer Science 2020-07-22 Qingqiu Huang , Yu Xiong , Anyi Rao , Jiaze Wang , Dahua Lin

The proliferation of creative video content has driven demand for adapting language models to handle video input and enable multimodal understanding. However, end-to-end models struggle to process long videos due to their size and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Louis Mahon , Mirella Lapata

Detecting laughter in video is essential for affective computing and narrative understanding, yet existing approaches treat it as coarse clip-level classification, failing to capture precise temporal boundaries of brief, transient laughter…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Eyal Hanania , Nadav Kirsch , Daniel Arkushin , Jonathan Benvenisti , Amos Bercovich , Elie Zemmour , Sahar Froim

The rapid growth of online video content, especially on short video platforms, has created a growing demand for efficient video editing techniques that can condense long-form videos into concise and engaging clips. Existing automatic…

Computer Vision and Pattern Recognition · Computer Science 2025-10-06 Xiangfeng Wang , Xiao Li , Yadong Wei , Xueyu Song , Yang Song , Xiaoqiang Xia , Fangrui Zeng , Zaiyi Chen , Liu Liu , Gu Xu , Tong Xu

Thanks to the low operational cost and large storage capacity of smartphones and wearable devices, people are recording many hours of daily activities, sport actions and home videos. These videos, also known as egocentric videos, are…

Computer Vision and Pattern Recognition · Computer Science 2017-08-17 Washington Luis Souza Ramos , Michel Melo Silva , Mario Fernando Montenegro Campos , Erickson Rangel Nascimento

Among numerous videos shared on the web, well-edited ones always attract more attention. However, it is difficult for inexperienced users to make well-edited videos because it requires professional expertise and immense manual labor. To…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Yu Xiong , Fabian Caba Heilbron , Dahua Lin

Cinemagraphs are a compelling way to convey dynamic aspects of a scene. In these media, dynamic and still elements are juxtaposed to create an artistic and narrative experience. Creating a high-quality, aesthetically pleasing cinemagraph…

Computer Vision and Pattern Recognition · Computer Science 2017-08-11 Tae-Hyun Oh , Kyungdon Joo , Neel Joshi , Baoyuan Wang , In So Kweon , Sing Bing Kang

Film media is a rich form of artistic expression. Unlike photography, and short videos, movies contain a storyline that is deliberately complex and intricate in order to engage its audience. In this paper we present a large scale study…

Computer Vision and Pattern Recognition · Computer Science 2019-08-09 Paola Cascante-Bonilla , Kalpathy Sitaraman , Mengjia Luo , Vicente Ordonez