TV advertising is ubiquitous, perseverant, and economically vital. Millions of people's living
and working habits are affected by TV commercials. In this paper, we present a multimodal (" …

Video summarisation techniques aim to abstract the most significant content from a video
stream. This is typically achieved by processing low-level image, audio and text features …

This paper proposes a video scene retrieval algorithm based on emotion. First,
abrupt/gradual shot boundaries are detected in the video clip of representing a specific …

The advent of media-sharing sites has led to the unprecedented Internet delivery of
community-contributed media like images and videos. Those visual contents have become …

TV advertising commercials are a critical marketing tool for many companies. Their
interspersion within regular broadcast television programming can be entertaining …

In this paper we present a multi-modal approach to TV ads classification by advertised
products/services. A bag-of-words representation is proposed to discover ad categories …

A strategy for locating television (TV) commercials in TV programs is proposed. Based on
the observation that most TV commercials do not have subtitles, the first stage exploits six …

Music frequently occurs as an important reinforcing and meaning-creating element in
multimodal human experiences. This way, cross-modal connotative associations are …

Automatic TV ad detection is a challenging task in computer vision. Manual ad detection is
considered a tedious job. Detecting advertisements automatically saves time and human …

BACKGROUND Information processing systems are often used to automati cally classify
various Sub-objects of an object. For example, an image may be analyzed to classify various …