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020 _a9789811670695
024 7 _a10.1007/978-981-16-7069-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _a QA76.9 .T48
_b2021 EB
100 1 _aShivakumara, Palaiahnakote
245 1 0 _aCognitively Inspired Video Text Processing
_cby Palaiahnakote Shivakumara, Umapada Pal.
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Publising
_c2021
300 _a1 recurso en línea (X, 275 páginas)
_b151 ilustraciones, 113 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aCognitive Intelligence and Robotics
_x2520-1964
490 0 _aComputer Science (SpringerNature-11645)
490 0 _aComputer Science (R0) (SpringerNature-43710)
505 0 _aChapter 1. Introduction -- Chapter 2. Key Text Frame Selection from Video -- Chapter 3. Text and Non-Text Frame Classification in Video -- Chapter 4. Text Detection in Video -- Chapter 5. Text Detection in Images -- Chapter 6. Word and Character Segmentation -- Chapter 7. Video Text Type Classification -- Chapter 8. Video Text Enhancement for Recognition -- Chapter 9. Video Text Recognition -- Chapter 10. Conclusion and Future Directions.
520 3 _aAs technologies are fast advancing, the importance of text detection and recognition is receiving special attention from the researchers. Thus, one can see several real-time applications of video text processing which requires cognitive-based methods to find a solution. The main applications are (1) retrieving and indexing video based on semantic of the content of the video, (2) machine translation to assist foreigners, (3) assisting blind people to walk on the road freely without aid, (4) automatic vehicle driving, (5) license plate tracing to catch vehicles which violate the traffic signals, (6) monitoring the images posted on social media based on text and content of the images, (7) identifying the location based on the address of the street and shops, etc., (8) tracing players in the sports based on the jersey/bib number or text, and (9) in the same way, tracing the bib number in case of marathon and other events. For the above-mentioned applications, text detection and recognition in video and natural scene images is an integral part of the system.
988 _aSpringer_Computer_2021
650 7 _2embne
_9141188
_aProceso de textos
700 1 _aPal, Umapada
_eautor
_0(orcid)0000-0002-5426-2618
_1https://orcid.org/0000-0002-5426-2618
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9789811670688
776 0 8 _iPrinted edition:
_z9789811670701
776 0 8 _iPrinted edition:
_z9789811670718
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-7069-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2022
_dz
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