ABSTRACT:

We present how to extract rhythm information in dance videos and music, and accordingly correlate them based on rhythmic representation. From dancer's movement, we construct motion trajectories, detect turnings, and stops of trajectories, and then estimate rhythm of motion (ROM). For music, beats are detected to describe rhythm of music. Two modalities are therefore represented as sequences of rhythm information to facilitate finding cross-media correspondence. Two applications, i.e., background music replacement and music video generation, are developed to demonstrate the practicality of cross-media correspondence. We evaluate performance of ROM extraction, and conduct subjective/objective evaluation to show that rich browsing experience can be provided by the proposed applications.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Detection method for shockable rhythm based on a single featureABSTRACT:A methodology for detecting shockable rhythm was proposed. One feature was extracted using the discrete wavelet rework from a single-channel
PROJECT TITLE : Video Dissemination over Hybrid Cellular and Ad Hoc Networks - 2014 ABSTRACT: We study the problem of disseminating videos to mobile users by using a hybrid cellular and ad hoc network. In particular, we formulate
PROJECT TITLE :Prediction of the Timing and the Rhythm of the Parkinsonian Subthalamic Nucleus Neural Spikes Using the Local Field PotentialsABSTRACT:In this paper, we discuss the use of a nonlinear cascade model to predict the

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry