In Content-Based Image Retrieval (CBIR) two query-methods exist: query-by-example and
query-by-memory. The user either selects an example image or selects image features …

We present the concept of intelligent Content-Based Image Retrieval (iCBIR), which incorporates
knowledge concerning human cognition in system development. The present research …

The voice embodies three sources of information: speech, the identity, and the emotional state
of the speaker (ie, emotional prosody). The latter feature is resembled by the variability of …

A new object-based image retrieval (OBIR) scheme is introduced. The images are analyzed
using the recently developed, human-based 11 colors quantization scheme and the color …

Biosignals, peripheral or from the brain, can be used to recognize mental states. Subsequently,
these signals can be employed to enhance user experiences. This paper identifies …

Color induced texture analysis is explored, using two texture analysis techniques: the co-occurrence
matrix and the color correlogram as well as color histograms. Several quantization …

In this paper, we explored the use of low fidelity Synthetic Environments (SE; ie, a combination
of simulation techniques) for product design. We explored the usefulness of low fidelity …

The work presented here introduces a real-time automatic scene classifier within content-based
video retrieval. In our envisioned approach end users like documentalists, not image …

The ability to process and, subsequently, understand affective signals is the core of
emotional intelligence and empathy. However, more than a decade of research in affective …

Het zoeken naar beeldmateriaal op basis van de eigenschappen van dat beeld (kleur, textuur
en vorm) wordt ook wel Content-Based Image Retrieval (CBIR) genoemd. Het gaat dan …