9. ANÁLISIS DE LA INFORMACIÓN POR CATEGORÍAS
9.2 PRÁCTICAS DOCENTES DE LOS MAESTROS EN RELACIÓN AL DISCURSO
elements of the watermarking scheme. However, a number of different approaches have been in- YHVWLJDWHGDQGVLJQL¿FDQWSURJUHVVLVEHLQJPDGH Some of the advantages of these approaches are discussed previously, but much interesting work remains to be done.
Handling geometric distortions without using WKH RULJLQDO LPDJH FRQWHQW UHPDLQV D GLI¿FXOW problem. While many papers have illustrated the use of different synchronization strategies, there has been very little work on how to optimally IXO¿OOLPSHUFHSWLELOLW\DQGUREXVWQHVVFRQVWUDLQWV Most of these techniques are computationally very expensive. We expect that development of the new techniques with reduced computational costs will become a fruitful area of research.
Random geometric distortion or Stirmark attack remains an open problem. A number of researchers have attempted to design a synchro- nization technique that is robust against Stirmark attack. However, a challenging task for many
researches would be still an estimation of the parameters of local geometric distortion.
We believe that synchronization techniques ZKLFKDUHEDVHGRQLPDJHFRQWHQWRIIHUVLJQL¿- cant near-term improvements. Those techniques explore the robust image features for building of the reference system for watermark embedding and detection. A couple of different feature point detectors are used to extract the robust feature points. Among them a relatively new class of scale invariant feature point detectors provides a good potential which is not yet fully explored.
The research focus of the watermarking com- munity in the last few years was the development of the watermarking and synchronization techniques WKDWDUHLQYDULDQWWRJHQHUDODI¿QHWUDQVIRUPD- tion. However, those techniques fail if a possibly watermarked image is corrupted with a projective transformation. Most of the proposed techniques that are invariant to projective transformation are also based on the robust feature points. Re- grettably, the number of proposed techniques is still limited. We believe that development of the techniques that use the SIFT features that are invariant to projective transformations could pos- VLEO\SURYLGHVLJQL¿FDQWUHVXOWVDQGDUHWKHUHIRUH worth further study.
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