On no-reference on-line error-tolerability testing for videos

In this paper we investigate how to achieve on-line error-tolerability testing on videos. In particular, a no-reference manner is considered, which means that no reference videos are needed for comparison with the videos under test. As a result, the hardware that is usually needed in conventional on-line test methods for generating reference data can be totally eliminated. This greatly reduces implementation complexity of on-line test procedures. We show that by well exploiting some simple attributes, the acceptability for 81,412 various erroneous videos can be accurately determined with more than 90% accuracy. As a comparison, the related previous work can only achieve about 80% accuracy. In addition, our attribute acquirement process requires only 33% of the computation time for the previous work.