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Dense Video Captioning for Incomplete Videos
2021Incomplete video or partially-missing video situations are rarely considered in video captioning research. Previous approaches are mainly trained and evaluated on complete video clip datasets where all the events involved are thoroughly observed. In this work, we formulate the issue of video content description for partially-missing videos.
Xuan Dang +3 more
openaire +1 more source
2014
Video contains two types of texts. The first type pertains to caption texts which are edited texts or graphics texts artificially superimposed into video and are relevant to the content of the video. The second type belongs to scene texts, which are naturally existing texts, usually embedded in objects in the video. This chapter focuses on the state-of-
Tong Lu +3 more
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Video contains two types of texts. The first type pertains to caption texts which are edited texts or graphics texts artificially superimposed into video and are relevant to the content of the video. The second type belongs to scene texts, which are naturally existing texts, usually embedded in objects in the video. This chapter focuses on the state-of-
Tong Lu +3 more
openaire +1 more source
Rethink video retrieval representation for video captioning
Pattern Recognition, Guorong Li, Yuankai Qi
exaly +2 more sources
Captioning Online Course Videos
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019The expansion of computer science programs into the digital world has significantly increased the use of videos as an instructional medium. In an effort to improve student performance in a video driven learning environment, this paper explores the impact of captions on learning performance.
Michael Whitney, Bryan Dallas
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Video caption duration extraction
2008 19th International Conference on Pattern Recognition, 2008Caption detection in the video is an active research topic in recent years. In the conventional methods, one of most difficult problems is to effectively and quickly extract the durations of the different-size captions in the complex background. To solve this problem, a novel and effective method is presented to locate and track the captions in the ...
Hongliang Bai +5 more
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Multirate Multimodal Video Captioning
Proceedings of the 25th ACM international conference on Multimedia, 2017Automatically describing videos with natural language is a crucial challenge of video understanding. Compared to images, videos have specific spatial-temporal structure and various modality information. In this paper, we propose a Multirate Multimodal Approach for video captioning.
Ziwei Yang +4 more
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Multiple Videos Captioning Model for Video Storytelling
2019 IEEE International Conference on Big Data and Smart Computing (BigComp), 2019In this paper, We propose a novel video captioning model that utilizes context information of correlated clips. Unlike the ordinary “one clip - one caption” algorithms, we concatenate multiple neighboring clips as a chunk and train the network in “one chunk - multiple caption” manner.
Seung-Ho Han, Bo-Won Go, Ho-Jin Choi
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Video Captioning with Listwise Supervision
Proceedings of the AAAI Conference on Artificial Intelligence, 2017Automatically describing video content with natural language is a fundamental challenging that has received increasing attention. However, existing techniques restrict the model learning on the pairs of each video and its own sentences, and thus fail to capture more holistically semantic relationships among all sentences. In this paper,
Yuan Liu, Xue Li, Zhongchao Shi
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An attention based dual learning approach for video captioning
Applied Soft Computing Journal, 2022Wanting Ji, Ruili Wang
exaly
Scenario-Aware Recurrent Transformer for Goal-Directed Video Captioning
ACM Transactions on Multimedia Computing, Communications and Applications, 2022Xin Man, Deqiang Ouyang, Jingkuan Song
exaly