LEADER 03378nam 22005655 450 001 9910510576603321 005 20251113205647.0 010 $a981-16-7069-2 024 7 $a10.1007/978-981-16-7069-5 035 $a(MiAaPQ)EBC6810921 035 $a(Au-PeEL)EBL6810921 035 $a(CKB)19919641400041 035 $a(OCoLC)1286854487 035 $a(PPN)258842083 035 $a(DE-He213)978-981-16-7069-5 035 $a(EXLCZ)9919919641400041 100 $a20211116d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCognitively Inspired Video Text Processing /$fby Palaiahnakote Shivakumara, Umapada Pal 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (283 pages) 225 1 $aCognitive Intelligence and Robotics,$x2520-1964 311 08$aPrint version: Shivakumara, Palaiahnakote Cognitively Inspired Video Text Processing Singapore : Springer Singapore Pte. Limited,c2021 9789811670688 320 $aIncludes bibliographical references. 327 $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. 330 $aAs technologies are fast advancing, the importance of text detection and recognition is receiving special attention from the researchers. Thus, one can see several real-time applications of video text processing which requires cognitive-based methods to find a solution. The main applications are (1) retrieving and indexing video based on semantic of the content of the video, (2) machine translation to assist foreigners, (3) assisting blind people to walk on the road freely without aid, (4) automatic vehicle driving, (5) license plate tracing to catch vehicles which violate the traffic signals, (6) monitoring the images posted on social media based on text and content of the images, (7) identifying the location based on the address of the street and shops, etc., (8) tracing players in the sports based on the jersey/bib number or text, and (9) in the same way, tracing the bib number in case of marathon and other events. For the above-mentioned applications, text detection and recognitionin video and natural scene images is an integral part of the system. 410 0$aCognitive Intelligence and Robotics,$x2520-1964 606 $aComputer vision 606 $aSignal processing 606 $aComputer Vision 606 $aDigital and Analog Signal Processing 615 0$aComputer vision. 615 0$aSignal processing. 615 14$aComputer Vision. 615 24$aDigital and Analog Signal Processing. 676 $a005 700 $aShivakumara$b Palaiahnakote$01068731 702 $aPal$b Umapada 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910510576603321 996 $aCognitively inspired video text processing$92906198 997 $aUNINA