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Residual frame

About: Residual frame is a research topic. Over the lifetime, 4443 publications have been published within this topic receiving 68784 citations.


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Patent
Rajeeb Hazra1, Arlene Kasai1
23 Dec 1998
TL;DR: In this paper, a method comprising selecting a number of blocks of a frame pair and synthesizing an interpolated frame based on those selected blocks of the frame pair is proposed, which is aborted upon determining the interpolation frame has an unacceptable quality.
Abstract: A method comprising selecting a number of blocks of a frame pair and synthesizing an interpolated frame based on those selected blocks of the frame pair. Additionally, the synthesis of the interpolated frame is aborted upon determining the interpolated frame has an unacceptable quality.

50 citations

Patent
21 Oct 1997
TL;DR: In this paper, a video compression system based on the image data compression system developed by the Motion Picture Experts Group (MPEG) uses various group-of-fields configurations to reduce the number of binary bits used to represent an image composed of odd and even fields of video information.
Abstract: A video compression system which is based on the image data compression system developed by the Motion Picture Experts Group (MPEG) uses various group-of-fields configurations to reduce the number of binary bits used to represent an image composed of odd and even fields of video information, where each pair of odd and even fields defines a frame. .[.According to a first method, each field in the group of fields is predicted using the closest field which has previously been predicted as an anchor field. According to a second method, intra fields (I-fields) and predictive fields (P-fields) are distributed in the sequence so that no two I-fields and/or no two P-fields are at adjacent locations in the sequence. According to a third method, t.]. .Iadd.T.Iaddend.he number of I-fields and P-fields in the encoded sequence is reduced by encoding one field in a given frame as a P-field or a B-field where the other field is encoded as an I-field and encoding one field in a further frame as a B-field where the other field is encoded as a P-field.

50 citations

Patent
04 Jun 2004
TL;DR: In this paper, a method and system for automated video quality assessment which reduces the adverse effects of sub-field/frame misalignments between the reference and test sequences is presented.
Abstract: A method and system for automated video quality assessment which reduces the adverse effects of sub-field/frame misalignments between the reference and test sequences. More particularly, the invention provides for misalignments down to a sub-field/frame level to be handled by individually matching sub-field/frame elements of a test video field/frame with sub-field/frame elements from a reference video field/frame. The use of a matching element size that is significantly smaller than the video field/frame size enables transient sub-field/frame misalignments to be effectively tracked.

50 citations

Patent
Greg Conklin1
30 Jun 2000
TL;DR: In this article, a frame generator performs a number of steps such as: (i) determining whether frame generation is appropriate, (ii) examines the first and second base frames to check for the presence of textual characters, (iii) selects a frame generation method based upon information in the first or second frames, and (iv) filters the generated frames.
Abstract: The system includes a frame generator which generates one or more intermediate frames based upon one base frames. Each of the base frames are comprised of a plurality of macroblocks. In the frame generation process, the frame generator performs a number of steps such as: (i) determines whether frame generation is appropriate, (ii) examines the first and second base frames to check for the presence of textual characters, (iii) selects a frame generation method based upon information in the first and second frames, (iv) filters the generated frames. This application focuses on analysing the first and second base frames and determining the method of frame interpolation.

49 citations

Journal ArticleDOI
TL;DR: Experimental results show that the proposed content-based video similarity tamper passive blind detection algorithm can not only detect the video frame tampering position of delete, copy, and insert effectively, but also can detect the tampering of different and homology video encoding formats.
Abstract: Video frame manipulation has become commonplace with the growing easy access to powerful computing abilities. One of the most common types of video frame tampers is the copy-paste tamper, wherein a region from a video frame is replaced with another region from the same frame. In order to improve the robustness of passive video tampering detection, we propose a content-based video similarity tamper passive blind detection algorithm based on multi-scale normalized mutual information which can implement video frame copy, frame insertion and frame deletion tamper detection. The detail implementation of the proposed algorithm consists of multi-scale content analysis, single-scale content similarity measure, multi-scale content similarity measure, and tampering positioning. Firstly, we get the scales of the visual content of the video frame using Gaussian pyramid transform; Secondly, to measure the similarity of single-scale visual content, we define adjacent normalized mutual information of two frames according to information theory; Thirdly, we construct the multi-scale normalized mutual information descriptors to achieve the multi-scale visual content similarity measure of adjacent two frames using a linear combination. Finally, we use the local outlier isolated factor detection algorithm to detect the position of the video tampering. Experimental results show that the proposed approach can not only detect the video frame tampering position of delete, copy, and insert effectively, but also can detect the tampering of different and homology video encoding formats. We obtain a feature detecting accuracy in excess of 93% and detection rate of 96% across post processing operations, and are able to detect the delete, copy, and insert regions with a high true positive rate and lower false positive rate than the existing time field tamper detection methods.

49 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202313
202223
20217
20204
20196
201811