Multi-hypothesis distributed video compression sensing based on key frame secondary reconstruction
نویسندگان
چکیده
منابع مشابه
Multi-Hypothesis based Distributed Video Coding using LDPC Codes
Conventional video coding paradigms are usually built on the assumption that a video stream will be encoded only once but decoded several times. Over the years, this has lead to the development of encoders, which use complex motion-estimation algorithms to reduce the size of the video bitstream. However in applications like distributed sensor networks, cell-phones etc. the encoder has a limited...
متن کاملRobust Key Frame Extraction for 3D Reconstruction from Video Streams
Automatic reconstruction of 3D models from video sequences requires selection of appropriate video frames for performing the reconstruction. We introduce a complete method for key frame selection that automatically avoids degeneracies and is robust to inaccurate correspondences caused by motion blur. Our method combines selection criteria based on the number of frame-to-frame point corresponden...
متن کاملKey Frame Selection from Video Based on Weighted Minkowski Distance
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...
متن کاملAdaptive Key Frame Rate Allocation for Distributed Video Coding
In the context of Distributed Video Coding (DVC), rate allocation among sources represents an important problem to solve. While in the information theoretical setting of Distributed Source Coding (DSC) the statistical correlation between sources is usually assumed to be known, in practical DVC systems there is no a priori knowledge of the underlying statistics of visual data. This lack of infor...
متن کاملA Survey on Key Frame Based Video Summarization Techniques
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 ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1721/1/012067