Implementing the context tree weighting method for content recognition

This paper presents the usability of context tree weighting method (CTW) for applications involving content recognition. The CTW method is a statistics-based universal date compression algorithm that is capable of achieving superior performance compared to Lempel-Ziv based algorithms. The concept of context tree freezing after the reference sequence is encoded to avoid learning the memory structure of the appended test sequence is used to modify CTW for content recognition purposes.