Abstract: We address the issue of categorizing scenes from feature films into semantic classifications based on the audio-visual cues.
We address the issue of categorizing scenes from feature films into semantic classifications based on the audio-visual cues. Specifically, we first exploit ...
A movie classifier is developed that can parse a given movie clip into predefined genre categories using both the extracted audio and visual features of the ...
We present a method to classify movies on the basis of audio-visual cues present in the previews. A preview sum- marizes the main idea of a movie providing ...
Missing: Improving Categorization
Abstract—In this paper, we study the challenging problem of categorizing videos according to high-level semantics such as.
Apr 11, 2024 · Abstract—Indoor scenes are usually characterized by scattered objects and their relationships, which turns the indoor scene classification ...
In this paper, we propose a visual reasoning mod- ule to explicitly exploit the rich visual context semantics, which alleviates the issue of insufficient ...
Missing: Categorization | Show results with:Categorization
This paper presents a framework for the classification of feature films into genres, based only on computable visual cues. We view the work as a step towards ...
Experiments with the MED-11 dataset show that AUDs and VIDs are better able to retrieve semantic categories from ... combining audio and video features using ...
This paper proposes shot genre classification from MPEG compressed movies, as one of the high-level indexing methods for audio-visual contents.