Video Key Frame Recognition Technology Research Based on the Content
نویسندگان
چکیده
منابع مشابه
Content-based Video Retrieval Based on Similarity of Frame Sequence
Video retrieval is one of the important design issues of multimedia database management systems. The distinguished features of video retrieval lie in the similarity measures and content-based retrieval. Most research on content-based video retrieval represents the content of video as a set of frames leaving out the temporal ordering of frames in the shot. In this paper, the similarity measures ...
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Key frames are extracted to make video processing more efficient and effective. The key frames are those frames which are selected from the total frames of a video that can represent the information of whole video. Basically a video contains hundred, or thousands, or millions of frames depending upon the size and frame rate. The previous approaches have been either extracted a single frame or e...
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The large amount of videos usage increase the volume of data, more time to access and more man power is required. Video summarization is the solution for this problem. Summarized video can be used to review the important aspect of particular video, indexing and faster browsing. Video summarization techniques are classified into key frame based classification and skim based classification. This ...
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With the advent of the information age and an explosion in the availability of multimedia data, news video production and its usage is growing extremely. But these require more memory and space. So in order to save space and time we need to summarize video. For this we need to perform key frame extraction into the video. This project compares with each other, the combinations of existing approa...
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Content-based video analysis is an essential approach to overcome information overload. Recently, more and more researchers are engaged in this field. My research focuses on effective techniques for video analysis to accommodate users’ needs for convenient video retrieval and quick decision making. This paper proposes a “Perception, Thought, Action” based hierarchical framework for video conten...
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ژورنال
عنوان ژورنال: Software Engineering and Applications
سال: 2016
ISSN: 2325-2286,2325-2278
DOI: 10.12677/sea.2016.52013