00788nam0-22002891i-450-99000173803040332120070613092831.0000173803FED01000173803(Aleph)000173803FED0100017380320030910d19011903km-y0itay50------baspaBRTipos y paisajes CriollosGodofredo DaireauxBuenos AiresP. Hermanos y Moetzel1901-19034 v.24 cmLetteratura brasiliana869Daireaux,Geoffroy130787ITUNINARICAUNIMARCBK99000173803040332160 860 B 116591/94FAGBCFAGBCTipos y paisajes Criollos364633UNINA03378nam 22005655 450 991051057660332120251113205647.0981-16-7069-210.1007/978-981-16-7069-5(MiAaPQ)EBC6810921(Au-PeEL)EBL6810921(CKB)19919641400041(OCoLC)1286854487(PPN)258842083(DE-He213)978-981-16-7069-5(EXLCZ)991991964140004120211116d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCognitively Inspired Video Text Processing /by Palaiahnakote Shivakumara, Umapada Pal1st ed. 2021.Singapore :Springer Nature Singapore :Imprint: Springer,2021.1 online resource (283 pages)Cognitive Intelligence and Robotics,2520-1964Print version: Shivakumara, Palaiahnakote Cognitively Inspired Video Text Processing Singapore : Springer Singapore Pte. Limited,c2021 9789811670688 Includes bibliographical references.Chapter 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.As 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.Cognitive Intelligence and Robotics,2520-1964Computer visionSignal processingComputer VisionDigital and Analog Signal ProcessingComputer vision.Signal processing.Computer Vision.Digital and Analog Signal Processing.005Shivakumara Palaiahnakote1068731Pal UmapadaMiAaPQMiAaPQMiAaPQBOOK9910510576603321Cognitively inspired video text processing2906198UNINA