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Exploring temporal consistency for video analysis and retrieval
2006
Proceedings of the 8th ACM international workshop on Multimedia information retrieval - MIR '06
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This paper presents a thorough study of temporal consistency defined with respect to semantic concepts and query topics using quantitative measures, and discusses its implications to video analysis and ...
Temporal consistency is ubiquitous in video data, where temporally adjacent video shots usually share similar visual and semantic content. ...
Temporal consistency provides valuable contextual clues to video analysis and retrieval tasks. ...
doi:10.1145/1178677.1178685
dblp:conf/mir/YangH06
fatcat:gqb5jtdlyvd3dkveiwpsjojoii
Hybrid Spatiotemporal Contrastive Representation Learning for Content-Based Surgical Video Retrieval
2022
Electronics
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In this regard, previous methods for surgical video retrieval are based on handcrafted features which do not represent the video effectively. ...
These types of surgeries are often recorded during operations, and these recordings have become a key resource for education, patient disease analysis, surgical error analysis, and surgical skill assessment ...
Therefore, there is a high requirement for automated content-based surgical video analysis methods for both analysis and searching for desired videos. ...
doi:10.3390/electronics11091353
fatcat:zmnshgwnhfg3boritopyouw4jm
Measuring the impact of temporal context on video retrieval
2008
Proceedings of the 2008 international conference on Content-based image and video retrieval - CIVR '08
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In video retrieval these cues often include temporal information such as a shot's location within the overall video broadcast and/or its neighbouring shots. ...
In this paper we describe the findings from the K-Space interactive video search experiments in TRECVid 2007, which examined the effects of including temporal context in video retrieval. ...
ACKNOWLEDGMENTS This work is supported by the European Commission under contract FP6-027026 (K-Space), the Irish Research Council for Science Engineering and Technology and by Science Foundation Ireland ...
doi:10.1145/1386352.1386393
dblp:conf/civr/ByrneWJSO08
fatcat:gy3jkax2kbeffhgagu7rihqx3e
An Exploratory Analysis Tool for a Long-Term Video from a Stationary Camera
2012
2012 IEEE 24th International Conference on Tools with Artificial Intelligence
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The tool consists of three key methods: spatial change visualization, temporal change visualization, and similarity-based video retrieval. ...
We present an interactive tool for the exploratory analysis of a long-term video from a stationary camera. ...
Our tool provides three key methods for exploratory video analysis, namely, spatial change visualization, temporal change visualization, and similarity-based video retrieval. ...
doi:10.1109/ictai.2012.185
dblp:conf/ictai/NogamiSHT12
fatcat:7u4xal5uavhadcnaop46qlf5yu
Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis
2018
Multimedia tools and applications
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This has encouraged the research of video analysis, which can boost the development of techniques for the management and applications of videos, such as video retrieval, video classification, action recognition ...
As the visual content and temporal consistency of unconstrained videos are more complex, there are still challenges in video analysis and practical applications. ...
Acknowledgments This work is supported by the NSFC (under Grant U1509206,61472276) and Tianjin Natural Science Foundation (no. 15JCYBJC15400). ...
doi:10.1007/s11042-018-6341-6
fatcat:wsp2hi2gyfgkra6yr2pvo2wbgy
On clustering and retrieval of video shots through temporal slices analysis
2002
IEEE transactions on multimedia
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Based on the analysis of temporal slices, we propose novel approaches for clustering and retrieval of video shots. ...
In this paper, we first demonstrate that tensor histogram features extracted from temporal slices are suitable for motion retrieval. ...
Discussion Three new temporal texture features based on the analysis of temporal slices have been presented and applied to motion retrieval in sport video databases. ...
doi:10.1109/tmm.2002.802022
fatcat:zvuowrweuncklmdybfx5djog6u
Guest Editorial: Special Issue on Recent Advances in Content Analysis for Media Computing
2009
Journal of Signal Processing Systems
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As opposed to the image data, videos contain temporal information and they consist of audio and visual components. ...
Together, they explore how effective audio and visual features can be combined to represent a video and how user interaction can be integrated to improve the performance of video search. ...
As opposed to the image data, videos contain temporal information and they consist of audio and visual components. ...
doi:10.1007/s11265-009-0433-5
fatcat:snvjjbrtcfad3kn6psioj4b3fa
Exploring the Temporal Cues to Enhance Video Retrieval on Standardized CDVA
2022
IEEE Access
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As the demand for large-scale video analysis increases, video retrieval research is also becoming more active. ...
In 2014, ISO/IEC MPEG began standardizing compact descriptors for video analysis, known as CDVA, and it is now adopted as a standard. ...
To this end, the moving picture experts group (MPEG) has performed large-scale video analysis through standardization of compact descriptors for video analysis (CDVA) [4] , and this approach has been ...
doi:10.1109/access.2022.3165177
fatcat:wxsq42u46vdsrjez5d4kuzgcxm
Learning Temporal Embeddings for Complex Video Analysis
2015
2015 IEEE International Conference on Computer Vision (ICCV)
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We evaluate various design decisions for learning temporal embeddings, and show that our embeddings can improve performance for multiple video tasks such as retrieval, classification, and temporal order ...
In this paper, we propose to learn temporal embeddings of video frames for complex video analysis. Large quantities of unlabeled video data can be easily obtained from the Internet. ...
Karpathy and S. Yeung for helpful comments. This research is partially supported by grants from ONR MURI and Intel ISTC-PC. ...
doi:10.1109/iccv.2015.508
dblp:conf/iccv/RamanathanTML15
fatcat:q7xxusqqqjaxhdhxnfbwvgxmue
Learning Unsupervised Visual Representations using 3D Convolutional Autoencoder with Temporal Contrastive Modeling for Video Retrieval
2022
International journal of mathematical, engineering and management sciences
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The rapid growth of tag-free user-generated videos (on the Internet), surgical recorded videos, and surveillance videos has necessitated the need for effective content-based video retrieval systems. ...
Earlier methods for video representations are based on hand-crafted, which hardly performed well on the video retrieval tasks. ...
Acknowledgments This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. ...
doi:10.33889/ijmems.2022.7.2.018
fatcat:fz7ola4jmneq5j2j74rfzwdi2y
Retrieval Augmented Convolutional Encoder-Decoder Networks for Video Captioning
2022
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Specifically, for each query video, a video-sentence retrieval model is first utilized to fetch semantically relevant sentences from the training sentence pool, coupled with the corresponding training ...
In this paper, we uniquely introduce a Retrieval Augmentation Mechanism (RAM) that enables the explicit reference to existing video-sentence pairs within any encoder-decoder captioning model. ...
trained with a semantic loss for cross-modal consistency between video and caption. ...
doi:10.1145/3539225
fatcat:na34xvi25bcnfes7p43kdaqjge
Video browsing interfaces and applications: a review
2010
Journal of Photonics for Energy
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., storage, retrieval, sharing) employing video data in the past decade, both for personal and professional use. ...
Our survey reviews more than 40 different video browsing and retrieval interfaces and classifies them into three groups: applications that use video player-like interaction, video retrieval applications ...
For news videos most approaches use text recognition and a few apply face detection. In contrast for sports motion and speech analysis is typically used. ...
doi:10.1117/6.0000005
fatcat:xeanz3f6pnaizmtno4mumffhoq
Semantic-Based Video Retrieval Survey
2018
Journal of Computer and Communications
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Digital data include image, text, and video. Video represents a rich source of information. Thus, there is an urgent need to retrieve, organize, and automate videos. ...
In this paper, the different approaches of video retrieval are outlined and briefly categorized. ...
In addition, the content-based video retrieval methods are divided into video segmentation and video feature analysis and extraction methods. ...
doi:10.4236/jcc.2018.68003
fatcat:qfep2py7ufhwxea7vazpujltja
All in One: Exploring Unified Video-Language Pre-training
[article]
2022
arXiv
pre-print
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Mainstream Video-Language Pre-training models consist of three parts, a video encoder, a text encoder, and a video-text fusion Transformer. ...
Our pre-trained all-in-one Transformer is transferred to various downstream video-text tasks after fine-tuning, including text-video retrieval, video-question answering, multiple choice and visual commonsense ...
We would like to thank David Junhao Zhang for his kindly help on Transformer training. ...
arXiv:2203.07303v1
fatcat:ypguqswusnhf5nxqoiiq275vga
Exploiting redundancy in cross-channel video retrieval
2007
Proceedings of the international workshop on Workshop on multimedia information retrieval - MIR '07
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We describe this phenomenon, and use it to develop a framework to incorporate redundancy for cross-channel retrieval of visual items using speech. ...
Video producers, in telling a news story, tend to repeat important visual and speech material multiple times in adjacent shots, thus creating a certain level of redundancy. ...
ACKNOWLEDGMENTS The authors would like to thank Jan-Mark Geusebroek for his valuable assistance in modelling the various distributions outlined in this paper. ...
doi:10.1145/1290082.1290109
dblp:conf/mir/HuurninkR07
fatcat:mmz7ud4eyzcb7ki34mdnlzqstm
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