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- [1] Algorithmic Culture and E-Literary Text Semiotics CULTURA-INTERNATIONAL JOURNAL OF PHILOSOPHY OF CULTURE AND AXIOLOGY, 2013, 10 (02): : 141 - 156
- [4] Combining Text and Images for Film Age Appropriateness Classification AI IN COMPUTATIONAL LINGUISTICS, 2021, 189 : 242 - 249
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- [6] Moving and utilizing film images as data in a real-world video facility SMPTE MOTION IMAGING JOURNAL, 2002, 111 (10): : 482 - 486
- [7] Moving and utilizing film images as data in a real-world video facility SMPTE Journal, 2002, 111 (10): : 482 - 486
- [9] Moving Images and Everyday Culture. From Super 8 about Video for Mobile Film. Practices of Amateurs in the social Aestheticization Process ZEITSCHRIFT FUR VOLKSKUNDE, 2016, 112 (01): : 103 - 106
- [10] {"ERRORS":"Abstract: [WARNING :We present a Fully Convolutional Network based method for layout analysis of non-binarized historical Arabic manuscripts. The document image is segmented into main text and side text regions by dense pixel prediction. Convolutional part of the network can learn useful features from the non-binarized document images and is robust to degradation and uncontrained layouts. We have evaluated the proposed method on a private dataset containing challenging historical Arabic manuscripts to demonstrate it effectiveness. : Abstract should contain anyone of \u0027(C)\u0027, \u0027Copyright\u0027, or \u0027Published by\u0027, WARNING ::[pixel, uncontrained, dataset]]\u003cbr\u003e\n\u003cb\u003eTitle\u003c/b\u003e: [WARNING :Misspelled words :[binarization]]\u003cbr\u003e\nNo Error want to proceed ?","ARTNERRORS":""} 2018 IEEE 2ND INTERNATIONAL WORKSHOP ON ARABIC AND DERIVED SCRIPT ANALYSIS AND RECOGNITION (ASAR), 2018, : 151 - 155