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Video grounding and its generalizati...
~
Wang, Xin.
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Video grounding and its generalization = from I. D. and task-specific models to O. O. D. and large foundation models /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Video grounding and its generalization/ by Xin Wang, Xiaohan Lan, Wenwu Zhu.
Reminder of title:
from I. D. and task-specific models to O. O. D. and large foundation models /
Author:
Wang, Xin.
other author:
Lan, Xiaohan.
Published:
Cham :Springer Nature Switzerland : : 2025.,
Description:
xxxi, 209 p. :ill., digital ;24 cm.
[NT 15003449]:
Preface -- Introduction -- Traditional Temporal Sentence Grounding in Videos -- Generalized Video Grounding -- Future Research Directions -- References.
Contained By:
Springer Nature eBook
Subject:
Digital video. -
Online resource:
https://doi.org/10.1007/978-3-031-94837-4
ISBN:
9783031948374
Video grounding and its generalization = from I. D. and task-specific models to O. O. D. and large foundation models /
Wang, Xin.
Video grounding and its generalization
from I. D. and task-specific models to O. O. D. and large foundation models /[electronic resource] :by Xin Wang, Xiaohan Lan, Wenwu Zhu. - Cham :Springer Nature Switzerland :2025. - xxxi, 209 p. :ill., digital ;24 cm.
Preface -- Introduction -- Traditional Temporal Sentence Grounding in Videos -- Generalized Video Grounding -- Future Research Directions -- References.
This book consists of two parts: Part I Methodologies for Video Grounding and Part II Generalized Video Grounding and Trending Directions. To make this book self-contained and cutting edge, Part I will cover basic and advanced methodologies for Video Grounding, discussing key comparisons with several representative Vision-Language learning tasks including multimodal understanding and generation. Part II will cover our insights for Generalized Video Grounding and the development of Video Grounding in the era of large foundation models, discussing future directions such as Out-of-Distribution settings which deserve further investigations. Discussions on Video Grounding will cover both the task of Video Grounding and other Vision-Language Task, as well as their relations. The basics and advances will touch Video Grounding from model to benchmark, from supervised learning to unsupervised pre-training, from single video grounding to video corpus grounding, and from in-distribution setting to out-of-distribution setting. As for Generalized Video Grounding, we discuss cross-modal grounding, event grounding for multi-modal tasks, various distribution shifts in out-of-distribution setting, explainable Video Grounding, and large foundation model for Video Grounding. We deeply hope this book can benefit interested readers from both academy and industry, covering needs from junior starters in research to senior practitioners in IT companies.
ISBN: 9783031948374
Standard No.: 10.1007/978-3-031-94837-4doiSubjects--Topical Terms:
588086
Digital video.
LC Class. No.: TK6680.5
Dewey Class. No.: 006.696
Video grounding and its generalization = from I. D. and task-specific models to O. O. D. and large foundation models /
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Preface -- Introduction -- Traditional Temporal Sentence Grounding in Videos -- Generalized Video Grounding -- Future Research Directions -- References.
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This book consists of two parts: Part I Methodologies for Video Grounding and Part II Generalized Video Grounding and Trending Directions. To make this book self-contained and cutting edge, Part I will cover basic and advanced methodologies for Video Grounding, discussing key comparisons with several representative Vision-Language learning tasks including multimodal understanding and generation. Part II will cover our insights for Generalized Video Grounding and the development of Video Grounding in the era of large foundation models, discussing future directions such as Out-of-Distribution settings which deserve further investigations. Discussions on Video Grounding will cover both the task of Video Grounding and other Vision-Language Task, as well as their relations. The basics and advances will touch Video Grounding from model to benchmark, from supervised learning to unsupervised pre-training, from single video grounding to video corpus grounding, and from in-distribution setting to out-of-distribution setting. As for Generalized Video Grounding, we discuss cross-modal grounding, event grounding for multi-modal tasks, various distribution shifts in out-of-distribution setting, explainable Video Grounding, and large foundation model for Video Grounding. We deeply hope this book can benefit interested readers from both academy and industry, covering needs from junior starters in research to senior practitioners in IT companies.
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Professional and Applied Computing (SpringerNature-12059)
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