000 | 03430nam a22005295i 4500 | ||
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001 | 978-981-16-7069-5 | ||
003 | DE-He213 | ||
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008 | 211116s2021 si | s |||| 0|eng d | ||
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_a9789811670695 _9978-981-16-7069-5 |
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_a10.1007/978-981-16-7069-5 _2doi |
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100 | 1 |
_aShivakumara, Palaiahnakote. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aCognitively Inspired Video Text Processing _h[electronic resource] / _cby Palaiahnakote Shivakumara, Umapada Pal. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2021. |
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300 |
_aX, 275 p. 151 illus., 113 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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_aCognitive Intelligence and Robotics, _x2520-1964 |
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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 | _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 recognitionin video and natural scene images is an integral part of the system. | ||
650 | 0 | _aComputer vision. | |
650 | 0 | _aSignal processing. | |
650 | 1 | 4 | _aComputer Vision. |
650 | 2 | 4 | _aDigital and Analog Signal Processing. |
700 | 1 |
_aPal, Umapada. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811670688 |
776 | 0 | 8 |
_iPrinted edition: _z9789811670701 |
776 | 0 | 8 |
_iPrinted edition: _z9789811670718 |
830 | 0 |
_aCognitive Intelligence and Robotics, _x2520-1964 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-16-7069-5 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c178569 _d178569 |