Sentence examples for visual summarization from inspiring English sources

We conduct a user study and an expert evaluation to assess the effectiveness of ETGraph in terms of its visual summarization and comparison capabilities.

The empirical scores are not normalized against molecular size and residue content and as such the scores should not be used for direct comparisons but for easy visual summarization of relative trends.

Existing visual attention driven summarization frameworks have high computational cost and memory requirements, as well as a lack of efficiency in accurately perceiving human attention.

As the number of documents increases in multi-document summarization, the summarizer gets more difficulties in performing the summarization.

pyGenClean automates the QC procedure using PLINK, while providing the user with multiple summarization files and visual aids for quick identification of quality issues.

Iconic images, as used in Frahm et al. [6] and Heinly et al. [7], provide a compact yet informative summarization of the common visual elements occurring within a visual dataset.

Specifically, it is an improved synergistic approach to the problem of audio-visual salient event detection and movie summarization, also employing text saliency computation, initially presented in ICIP15 [14].

The objective of hybrid image summarization is selecting a few visual exemplars and semantic exemplars of a large-scale image collection and organizing them to represent the collection.

The purpose of this database is manifold; it can be used for training and evaluation of event detection and summarization algorithms, for classification and recognition of audio-visual and cross-media events, as well as for emotion tracking.

Although our method has not reached the required quality for visual surveillance applications, we present a starting point for a video face summarization system based on tracking-by-detection, in scenes where automatic face recognition remains a challenging issue.

The summarization of discussion content is performed as follows: Based on common visual referents in utterances included in discussion chunks, a graph structure is generated.