The most salient segments are words, the meaningful units.
We observe that audiovisual salient segments correlate mostly with Token-Token, Metaphor, and Metonymy relations, audio salient segments correlate mostly with Token-Token, Metonymy, and Type-Token, visual salient segments correlate with Metaphor and Type-Token, while semantic salient segments with Token-Token and Metaphor.
For this reason, the existence of databases annotated with the most salient segments, actions, or objects, so as to avoid extensive and time-consuming user studies, has come to be a demand.
For each key-frame of a test video clip, the Hough voting framework is also used to detect salient segments, which are further partitioned into multiple patches, by grouping blocks of similar appearance and motions.
Further, there is the need of mechanisms that go beyond single-modality content analysis to multimedia and cross-media semantics [13], leading us towards the emerging demand of datasets, where all modalities are annotated with salient segments, actions, objects, or even the semantically important interrelations for message formation.
Hence, an ideal video summary would contain all salient video segments, regarding both action and comprehensibility, yet being short in length.
For the creation of the summaries, we have used the classifier's output, consisting of frames classified as salient; thus, segments or frames, chosen based on high confidence scores, form a binary indicator function curve, representing the most salient audio-visual-text events.
Analysis began with a phase of initial coding where the data was broken into small, salient codes, using a segment-by-segment coding strategy.
To segment the salient object, we also develop a saliency based method using adaptive thresholding and GrabCut.
Insects are defined by a few salient features — the six segmented legs, the three body parts of head, thorax and abdomen, the exoskeleton that lends them their crunch — yum yum.
