  Autonomous sensory meridian response (ASMR) is a type of video contents
designed to help people relax and feel comfortable. Users usually retrieve ASMR
contents from various video websites using only keywords. However, it is
challenging to examine satisfactory contents to reflect users' needs for ASMR
videos using keywords or content-based retrieval. To solve this issue, we
propose a perceptual video retrieval system for ASMR videos and provide a novel
retrieval user interface that allows users to retrieve content according to
watching purpose and anticipated expectations, such as excitement, calmness,
stress and sadness. An ASMR video perception dataset is constructed with
annotations on affective responses after watching the videos. To verify the
proposed video retrieval system, a user study is conducted showing that users
can retrieve satisfactory ASMR contents easily and efficiently compared to
conventional keywords-based retrieval systems.
