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_a10.1007/978-981-16-7069-5 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_a QA76.9 .T48 _b2021 EB |
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| 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 |
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| 300 |
_a1 recurso en línea (X, 275 páginas) _b151 ilustraciones, 113 ilustraciones a color |
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_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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_aCognitive Intelligence and Robotics _x2520-1964 |
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| 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 |
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| 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 |
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_iPrinted edition: _z9789811670688 |
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_iPrinted edition: _z9789811670701 |
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_iPrinted edition: _z9789811670718 |
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_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) |
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