6 accepted papers
Neural video codecs (NVCs) have seen fast-paced advancement in recent years and already perform close to state-of-the-art traditional video codecs like H.266/VVC. However, NVC investigations have so far focused on improving performance for classical perspective video leaving the increasingly importa…
Most learning-based image compression methods lack efficiency for high image quality due to their non-invertible design. The decoding function of the frequently applied compressive autoencoder architecture is only an approximated inverse of the encoding transform. This issue can be resolved by using…
We propose to employ a saliency-driven hierarchical neural image compression network for a machine-to-machine communication scenario following the compress-then-analyze paradigm. By that, different areas of the image are coded at different qualities depending on whether salient objects are located i…
There are many tasks within video compression which re-quire fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate the required bit rate without needing to encode the en-tire block. With residual coding technology becoming more and more…
Chords and their progressions are an important aspect of Western tonal music. Specifically, transitions between subsequent chords within a piece carry style-relevant information. To extract such information from audio recordings, a naive approach first peforms automatic chord estimation for computin…
A high temporal resolution is desirable in many applications such as entertainment systems, automotive systems, or video surveillance. Apart from using cameras with a higher temporal resolution, it is also possible to employ frame rate up-conversion methods to obtain an enhanced temporal resolution.…