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Captioning is a crucial and challenging task for video understanding. In videos that involve active agents such as humans, the agent's actions can bring about myriad changes in the scene. Observable changes such as movements, manipulations,…

Computer Vision and Pattern Recognition · Computer Science 2023-01-10 Zhiyuan Fang , Tejas Gokhale , Pratyay Banerjee , Chitta Baral , Yezhou Yang

Dense video captioning, a task of localizing meaningful moments and generating relevant captions for videos, often requires a large, expensive corpus of annotated video segments paired with text. In an effort to minimize the annotation…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Yongrae Jo , Seongyun Lee , Aiden SJ Lee , Hyunji Lee , Hanseok Oh , Minjoon Seo

With the explosive growth of video data in real-world applications, a comprehensive representation of videos becomes increasingly important. In this paper, we address the problem of video scene recognition, whose goal is to learn a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Xuzheng Yu , Chen Jiang , Wei Zhang , Tian Gan , Linlin Chao , Jianan Zhao , Yuan Cheng , Qingpei Guo , Wei Chu

Online video web content is richly multimodal: a single video blends vision, speech, ambient audio, and on-screen text. Retrieval systems typically treat these modalities as independent retrieval sources, which can lead to noisy and subpar…

Computer Vision and Pattern Recognition · Computer Science 2025-06-09 David Wan , Han Wang , Elias Stengel-Eskin , Jaemin Cho , Mohit Bansal

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

Recent advances in text-to-video (T2V) generation with diffusion models have garnered significant attention. However, they typically perform well in scenes with a single object and motion, struggling in compositional scenarios with multiple…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Yuanhang Li , Qi Mao , Lan Chen , Zhen Fang , Lei Tian , Xinyan Xiao , Libiao Jin , Hua Wu

Visual object tracking acts as a pivotal component in various emerging video applications. Despite the numerous developments in visual tracking, existing deep trackers are still likely to fail when tracking against objects with dramatic…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Qiuhong Shen , Xin Li , Fanyang Meng , Yongsheng Liang

Scene-level captioning in instructional videos can enhance learning by requiring an understanding of both visual cues and temporal structure. By aligning visual cues with textual guidance, this understanding supports procedural learning and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Eddison Pham , Prisha Priyadarshini , Adrian Maliackel , Kanishk Bandi , Cristian Meo , Kevin Zhu

There have been significant innovations in media technologies in the recent years. While these developments have improved experiences for individual users, design of multi-user interfaces still remains a challenge. A relatively unexplored…

Human-Computer Interaction · Computer Science 2018-11-20 Sumit Shekhar , Aditya Siddhant , Anindya Shankar Bhandari , Nishant Yadav

In this paper, we propose the task of live comment generation. Live comments are a new form of comments on videos, which can be regarded as a mixture of comments and chats. A high-quality live comment should be not only relevant to the…

Computation and Language · Computer Science 2018-08-14 Damai Dai

Video consumption is being shifted from sit-and-watch to selective skimming. Existing video player interfaces, however, only provide indirect manipulation to support this emerging behavior. Video summarization alleviates this issue to some…

Multimedia · Computer Science 2017-08-24 Haojian Jin , Yale Song , Koji Yatani

Video summarization is among challenging tasks in computer vision, which aims at identifying highlight frames or shots over a lengthy video input. In this paper, we propose an novel attention-based framework for video summarization with…

Computer Vision and Pattern Recognition · Computer Science 2020-06-04 Yen-Ting Liu , Yu-Jhe Li , Yu-Chiang Frank Wang

Dense event captioning aims to detect and describe all events of interest contained in a video. Despite the advanced development in this area, existing methods tackle this task by making use of dense temporal annotations, which is…

Computer Vision and Pattern Recognition · Computer Science 2018-12-11 Xuguang Duan , Wenbing Huang , Chuang Gan , Jingdong Wang , Wenwu Zhu , Junzhou Huang

Video summarization techniques have been proven to improve the overall user experience when it comes to accessing and comprehending video content. If the user's preference is known, video summarization can identify significant information…

Computer Vision and Pattern Recognition · Computer Science 2024-11-07 Brian Chen , Xiangyuan Zhao , Yingnan Zhu

Tag recommendation is a common way to enrich the textual annotation of multimedia contents. However, state-of-the-art recommendation methods are built upon the pair-wised tag relevance, which hardly capture the context of the web video,…

Multimedia · Computer Science 2010-03-25 Zhineng Chen , Juan Cao , Yicheng Song , Junbo Guo , Yongdong Zhang , Jintao Li

The task of describing video content in natural language is commonly referred to as video captioning. Unlike conventional video captions, which are typically brief and widely available, long-form paragraph descriptions in natural language…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Mihai Masala , Marius Leordeanu

The proliferation of video-on-demand (VOD) services has led to a paradox of choice, overwhelming users with vast content libraries and revealing limitations in current recommender systems. This research introduces a novel approach by…

Social and Information Networks · Computer Science 2025-01-09 Mehrdad Maghsoudi , Mohammad Hossein valikhani , Mohammad Hossein Zohdi

In this paper, we consider a novel and practical case for talking face video generation. Specifically, we focus on the scenarios involving multi-people interactions, where the talking context, such as audience or surroundings, is present.…

Computer Vision and Pattern Recognition · Computer Science 2024-02-29 Meidai Xuanyuan , Yuwang Wang , Honglei Guo , Qionghai Dai

Speech as a natural signal is composed of three parts - visemes (visual part of speech), phonemes (spoken part of speech), and language (the imposed structure). However, video as a medium for the delivery of speech and a multimedia…

Computation and Language · Computer Science 2020-06-17 Dhruva Sahrawat , Yaman Kumar , Shashwat Aggarwal , Yifang Yin , Rajiv Ratn Shah , Roger Zimmermann

Micro-videos are six-second videos popular on social media networks with several unique properties. Firstly, because of the authoring process, they contain significantly more diversity and narrative structure than existing collections of…

Computer Vision and Pattern Recognition · Computer Science 2016-04-04 Phuc Xuan Nguyen , Gregory Rogez , Charless Fowlkes , Deva Ramanan
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