نتایج جستجو برای: closed caption program

تعداد نتایج: 576927  

2001
Seong-il Yang Young Kil Kim Young Ae Seo Sung-Kwon Choi Sang-Kyu Park

In this paper, we present CaptionEye/KE, a Korean to English machine translation system that is applied to a practical TV caption translation. And its experimental evaluation is performed on actual TV news caption texts that are extracted by caption extractor. This system adopts a highly robust HMM (Hidden-Markov Model) POS (part-of-speech) tagger, a Korean dependency parser using verb phrase p...

2015
Yi Wu Noshir F. Dabhoiwala Jaco Hagoort Jin-Lu Shan Li-Wen Tan Bin-Ji Fang Shao-Xiang Zhang Wouter H. Lamers

There file names for S3 Fig, S4 Fig, S5 Fig, S6 Fig, S7 Fig and S8 Fig are incorrectly switched. There is also an error in the caption for S2 Fig. Please see the corrected file names and captions for S2–S8 Figs below. S2 Fig. The Amira software interface. The segmentation procedure and the color code of the structures identified are shown. The same color code is used to label these structures i...

Journal: :International Journal of Computer Vision 2019

Journal: :South asian journal of engineering and technology 2022


 For this paper, we use CNN and LSTM to become aware of the caption image. Image generation is a system that comprehends natural language processing & computer vision standards recognize connection image in English. In research cautiously pursue number important concepts photograph captioning its familiar processes. We talk about Kera’s library, NumPy Jupiter notebooks for making pape...

2016

The caption for Table 1, " Clisssent and referral facility characteristics, by study-gender group, " should be " Client and referral facility characteristics, by study-gender group. " The publisher apologizes for the error. Please see Table 1 with the correct caption here. open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use...

Journal: :PloS one 2016
Yukie Kohata Yasuhiro Fujiwara Takanori Watanabe Masanori Kobayashi Yasuhiko Takemoto Noriko Kamata Hirokazu Yamagami Tetsuya Tanigawa Masatsugu Shiba Toshio Watanabe Kazunari Tominaga Taichi Shuto Tetsuo Arakawa

There is an error in the Results subsection of the Abstract as well as third paragraph of the Results section. In both of these instances, 43.9% should be 43.1%. There is an error in the caption of Fig 3. The authors have provided a corrected caption for Fig 3 here. access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distributi...

2015
Albert C. Sek Zhihui Xie Kaoru Terai Lauren M. Long Celeste Nelson Arkadiusz Z. Dudek Kirk M. Druey

The captions for Figs 1 and 2 are switched. The caption that appears with Fig 1 corresponds to Fig 2, and the caption that appears with Fig 2 corresponds to Fig 1. Please see the figures with the appropriate captions below. article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the o...

2015
Juan Bécares Manuel García-Tarrasón Dani Villero Santiago Bateman Lluís Jover Víctor García-Matarranz Carolina Sanpera José Manuel Arcos

There is an error in the caption for Fig 3, " AUCs values for workday SDMs resulting from the validation of the models with the sample reserved for validation. " Please see the complete, correct Fig 3 caption here. Copyright: © 2015 Bécares et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution,...

2003
Ichiro Ide Hiroshi Mo Norio Katayama Shin'ichi Satoh

We propose a topic-based inter-video news video corpus structuring method and a visual interface to efficiently browse through the structured corpus. Such inter-video structuring was not deeply sought in previous works. The topic-based structure is analyzed by closed-caption text analysis; topic segmentation and tracking. The visual interface provides the ability to 1)search and select a topic ...

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