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STRUCTURAL AND SEMANTIC ANALYSIS OF VIDEO
https://ame2.asu.edu/faculty/hs/pubs/sfc-icme-ss-final.pdf#:~:text=Robust%20scene%20segmentation%20is%20an%20important%20step%20towards,will%20allow%20us%20to%20categorize%20video%20data%20automatically.
Semantic audiovisual analysis for video summarization
https://www.academia.edu/2934225/Semantic_audiovisual_analysis_for_video_summarization
Based on the °log(max{zoom,1}), only zooming/dollying normalization of SRI and FTS , we define the ° ° 1 semantic visual importance as following: CMI = ®log(1 + ), only panning/tilting SVI = SRI + FTS (2) ° max{pan,tilt} Then, adopting the ideas about the effect of audio and ° zoom video contents on the joint influence in the audiovisual °log(max{ ,1}),simultaneously ¯ max{pan,tilt} …
(PDF) Semantic audiovisual analysis for video …
https://www.researchgate.net/publication/224564410_Semantic_audiovisual_analysis_for_video_summarization
Semantic analysis for audio-visual content has been studied for several decades. It is mainly applied in audio-visual retrieval, management, summarization, etc. [109, 110] .
Semantic audiovisual analysis for video summarization ...
https://researchportal.tuni.fi/en/publications/semantic-audiovisual-analysis-for-video-summarization
Translated title of the contribution: Semantic audiovisual analysis for video summarization: Original language: English: Title of host publication: Eurocon 2009, International IEEE Conference devoted to the 150-anniversary of Alexander S. Popov, Saint Petersburg, Russia, 18-23 May 2009
4 Video Analysis and Summarization at Structural and ...
https://ame2.asu.edu/faculty/hs/pubs/sundaram-chang-book-chapter.pdf
important aspects of audio-visual content analysis Š (a) segmentation, (b) event analysis and (c) summarization. Each component plays an important role in the greater semantic understanding of the audio-visual data. Segmenting audio-visual data into homogeneous segments in a manner suited for further processing (e.g. visual summaries) is an important first step. The
Near-Lossless Semantic Video Summarization and Its ...
https://www.microsoft.com/en-us/research/publication/near-lossless-semantic-video-summarization-and-its-applications-to-video-analysis/
Near-Lossless Semantic Video Summarization and Its Applications to Video Analysis. The ever increasing volume of video content on the Web has created profound challenges for developing efficient indexing and search techniques to manage video data. Conventional techniques such as video compression and summarization strive for the two …
STRUCTURAL AND SEMANTIC ANALYSIS OF VIDEO
https://ame2.asu.edu/faculty/hs/pubs/sfc-icme-ss-final.pdf
Robust scene segmentation is an important step towards semantic understanding of video data. Summarization schemes based on such shot and scene segmentation facilitate non-linear navigation of the data. Classification techniques based on audio-visual as well as textual descriptors will allow us to categorize video data automatically.
AUTOMATIC CONSUMER VIDEO SUMMARIZATION BY …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.135
The guidelines reflect the high-level semantic rules, in both visual and audio aspects, which are recognized by consumers as important to produce good video summaries. Following these guidelines, an automatic video summarization algorithm is developed where both visual and audio information are used to generate improved summaries.
(PDF) Multi-level Semantic Analysis for Sports Video | Yi ...
https://www.academia.edu/70884323/Multi_level_Semantic_Analysis_for_Sports_Video
Thus, tactical semantic need to be separated from specific semantic due to its requirement to use more complex and less-generic audio-visual features. For example, corner kick and free- kick in soccer needs to be detected using specific analysis rules on soccer-field and Multi-level Semantic Analysis for Sports Video 3 player-ball motion ...
CiteSeerX — Structural and Semantic Analysis of Video
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.5337
semantic analysis recent research digital video audio-visual data classification scheme classification technique program level summary scene segmentation domain-specific characteristic bayesian network different level several audio-visual property domain-specific spatial structural constraint multiple class temporal transitional model open issue computable …
Video Summarization - an overview | ScienceDirect Topics
https://www.sciencedirect.com/topics/engineering/video-summarization
Another important work in the direction of soccer video summarization is based on detection of semantic events based on audio-visual features. In this work, Hosseini and Eftekhari-Moghadama [161] designed a fuzzy rule-based reasoning system which accepts statistical information from audio-visual features. A decision tree is constructed from tuples formed from feature vectors.
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