MLB sports frames retrieval using color cipher similarities

Chiunhsiun Lin, Ching Hung Su, Hsuan Shu Huang, Kuo Chin Fan

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


We present a realistic and fully automatic content-based approach for retrieval MLB sports frames efficiently. Specifically, we present a rule-based method for detecting primary and recurrent scenes in MLB videos (e.g., MLB pitching scenes in baseball). The proposed approach transfers each MLB sports frame to a color cipher using only straightforward 8 rules. Subsequently, we utilize the color ciphers to compare the MLB sports frames, namely color ciphers comparison. We succeed in transferring the MLB sports frames retrieval problem to color ciphers comparison, so the computational complexity is decreased obviously. Our system keeps both advantages of the content based videos retrieval system (similarity-based retrieval) and a text based videos retrieval system (very rapid and mature).

Original languageEnglish
Pages (from-to)565-580
Number of pages16
JournalInternational Journal of Circuits, Systems and Signal Processing
Issue number6
StatePublished - 2011


  • Color
  • Color ciphers comparison
  • Content based videos retrieval (CBVR)
  • MLB sports frames


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