Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Daniel Rotman"'
Publikováno v:
ACM Multimedia
Video scene detection is the task of dividing videos into temporal semantic chapters. This is an important preliminary step before attempting to analyze heterogeneous video content. Recently, Optimal Sequential Grouping (OSG) was proposed as a powerf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c61eb486f7d911dbdf875918a4080a89
http://arxiv.org/abs/2205.08249
http://arxiv.org/abs/2205.08249
Publikováno v:
CVPR Workshops
Classification of new class entities requires collecting and annotating hundreds or thousands of samples that is often prohibitively costly. Few-shot learning suggests learning to classify new classes using just a few examples. Only a small number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c578fd68713dd34c637530c7836d1750
https://doi.org/10.1109/cvprw53098.2021.00313
https://doi.org/10.1109/cvprw53098.2021.00313
Publikováno v:
ICPR
In recent years, there has been an increasing interest in building video summarization tools, where the goal is to automatically create a short summary of an input video that properly represents the original content. We consider shot-based video summ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6220bd567d930443e7aca6fcdae9632
https://doi.org/10.1109/icpr48806.2021.9412068
https://doi.org/10.1109/icpr48806.2021.9412068
One of the key factors of enabling machine learning models to comprehend and solve real-world tasks is to leverage multimodal data. Unfortunately, annotation of multimodal data is challenging and expensive. Recently, self-supervised multimodal method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef03ed679530ab7b970cf5b8276bfd01
Publikováno v:
International Journal of Semantic Computing. 11:193-208
Video scene detection is the task of dividing a video into semantic sections. To perform this fundamental task, we propose a novel and effective method for temporal grouping of scenes using an arbitrary set of features computed from the video. We for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4c0f811e2a0d6a23ada63e6b3e4df31
https://doi.org/10.1142/s1793351x17400086
https://doi.org/10.1142/s1793351x17400086
Publikováno v:
ICMR
Video scene detection is the task of temporally dividing a video into its semantic sections. This is an important preliminary step for effective analysis of heterogeneous video content. We present a unique formulation of this task as a generic optimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a90f2de9844a1adf0485b0bb4efbface
https://doi.org/10.1145/3206025.3206055
https://doi.org/10.1145/3206025.3206055
Publikováno v:
AAAI
With the increasing popularity of video content, automatic video understanding is becoming more and more important for streamlining video content consumption and reuse. In this work, we present TVAN—temporal video analyzer—a system for temporal v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a064f082edbe1b2cb1ce9f13770960b6
https://doi.org/10.1609/aaai.v33i01.33019871
https://doi.org/10.1609/aaai.v33i01.33019871
Publikováno v:
MMSP
Video scene detection, the task of temporally dividing a video into its semantic sections, is an important process for effective analysis of heterogeneous video content. With the increased amount of video available for consumption, video scene detect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ef45ee106acca58a3ffcc013d05432
https://doi.org/10.1109/mmsp.2017.8122267
https://doi.org/10.1109/mmsp.2017.8122267
Publikováno v:
2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE).
Depth cameras are becoming widely used for facilitating fast and robust natural user interaction. But measuring depth can be high in power consumption mainly due to the active infrared illumination involved in the acquisition process, for both struct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fea7c4041733058b644524deceb68e2
https://doi.org/10.1109/icsee.2016.7806153
https://doi.org/10.1109/icsee.2016.7806153
Autor:
Guy Gilboa, Daniel Rotman
Publikováno v:
3DV
Depth restoration, the task of correcting depth noise and artifacts, has recently risen in popularity due to the increase in commodity depth cameras. When assessing the quality of existing methods, most researchers resort to the popular Middlebury da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9359ac50097d6e24b6131aade1cbfa8
https://doi.org/10.1109/3dv.2016.26
https://doi.org/10.1109/3dv.2016.26