Video Summarization is a technique to reduce the original raw video into a short video
summary. Video summarization automates the task of acquiring key frames/segments from …

Multimodal summarization has drawn much attention due to the rapid growth of multimedia
data. The output of the current multimodal summarization systems is usually represented in …

Multimodal summarization with multimodal output (MSMO) is to generate a multimodal
summary for a multimodal news report, which has been proven to effectively improve users' …

The rapid increase of the multimedia data over the Internet necessitates multi-modal
summarization from collections of text, image, audio and video. In this work, we propose an …

The volume of video data generated has seen an exponential growth over the years and
video summarization has emerged as a process that can facilitate efficient storage, quick …

Automatic text summarization is a fundamental natural language processing (NLP)
application that aims to condense a source text into a shorter version. The rapid increase in …

With the development of display technologies, image retargeting plays a significant role in
computer vision and pattern recognition communities currently. Image retargeting aims to …

Sound localization aims to find the source of the audio signal in the visual scene. However, it
is labor-intensive to annotate the correlations between the signals sampled from the audio …

Video Summarization is a video compression/compaction technique to create a shorter yet
informative version of original video. Video summarization has offered solutions to plenty of …

Recently, dictionary learning methods for unsupervised video summarization have
surpassed traditional video frame clustering approaches. This paper addresses static …