Transferable Videorealistic Speech Animation

dc.contributor.authorChang, Yao-Jenen_US
dc.contributor.authorEzzat, Tonyen_US
dc.contributor.editorD. Terzopoulos and V. Zordan and K. Anjyo and P. Faloutsosen_US
dc.date.accessioned2014-01-29T07:12:27Z
dc.date.available2014-01-29T07:12:27Z
dc.date.issued2005en_US
dc.description.abstractImage-based videorealistic speech animation achieves significant visual realism at the cost of the collection of a large 5- to 10-minute video corpus from the specific person to be animated. This requirement hinders its use in broad applications, since a large video corpus for a specific person under a controlled recording setup may not be easily obtained. In this paper, we propose a model transfer and adaptation algorithm which allows for a novel person to be animated using only a small video corpus. The algorithm starts with a multidimensional morphable model (MMM) previously trained from a different speaker with a large corpus, and transfers it to the novel speaker with a much smaller corpus. The algorithm consists of 1) a novel matching-by-synthesis algorithm which semi-automatically selects new MMM prototype images from the new video corpus and 2) a novel gradient descent linear regression algorithm which adapts the MMM phoneme models to the data in the novel video corpus. Encouraging experimental results are presented in which a morphable model trained from a performer with a 10- minute corpus is transferred to a novel person using a 15-second movie clip of him as the adaptation video corpus.en_US
dc.description.seriesinformationSymposium on Computer Animationen_US
dc.identifier.isbn1-59593-198-8en_US
dc.identifier.issn1727-5288en_US
dc.identifier.urihttps://doi.org/10.2312/SCA/SCA05/143-152en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Animationen_US
dc.titleTransferable Videorealistic Speech Animationen_US
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