Abstract
Timestamp replanting is required when we want to remove timestamps in individual videos and to plant a timestamp into their merged panorama video. This paper presents a preliminary automatic timestamp replanting algorithm for producing panorama surveillance video. Timestamp replanting is a challenge problem because localization, removal, and recognition of timestamp are three difficulty tasks. This paper develops methods to attack the difficulties to finish the tasks. First, it presents a novel localization procedure which first localizes second-digit by using a pixel secondly-periodicity method. And then it localizes timestamp via extracting all digits of timestamp. Second, it adopts a homography-based method to conduct timestamp removal. Third, it presents a digit-sequence recognition method to recognize second-digit and online template matching to recognize the other digits. Experimental results show that the algorithm can accurately localize timestamp in a very low computing cost and that the performances of replanting are visually acceptable.
Partially supported by National Natural Science Foundation of China (No.61272206),National Key Technology R&D Program of China during “12th Five-Year Plan” (No.2011BAK14B01), and Collaboration Innovation Base on Educational Digital Media and Visualization.
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Yu, X., Song, W., Cheng, J., Qiu, B., He, B. (2014). An Automatic Timestamp Replanting Algorithm for Panorama Video Surveillance. In: Klette, R., Rivera, M., Satoh, S. (eds) Image and Video Technology. PSIVT 2013. Lecture Notes in Computer Science, vol 8333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53842-1_14
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DOI: https://doi.org/10.1007/978-3-642-53842-1_14
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