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Inter frame

About: Inter frame is a research topic. Over the lifetime, 4154 publications have been published within this topic receiving 63549 citations.


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Patent
08 Sep 2009
TL;DR: In this paper, lossless inter frame transcoding (LIFT) is proposed for improving the error resilience of video streaming, where conventional coded blocks are selectively transcoded into new transcoded block.
Abstract: Described herein is a novel transcoding technique called lossless inter frame transcoding (LIFT) for improving the error resilience of video streaming. According to various embodiments, conventional coded blocks are selectively transcoded into new transcoded block. At the decoder, the transcoded block can be transcoded back to the conventional coded block when the prediction is available and can also be robustly decoded independently when the prediction is unavailable. According to another embodiment, an offline transcoding and online composing technique is provided for generating a composite frame using the transcoded and conventional coded blocks and adjusting the ratio of the transcoded blocks, thereby achieving error robustness scalability.

43 citations

Patent
07 Apr 2010
TL;DR: In this paper, a method and device are provided for method for stabilization of image data by an imaging device, which includes detecting image data for a first frame and a second frame, performing motion estimation to determine one or more motion vectors associated with global frame motion for image data of the first frame, and determining a global transformation based on motion vectors selected by the outlier rejection function.
Abstract: A method and device are provided for method for stabilization of image data by an imaging device. In one embodiment, a method includes detecting image data for a first frame and a second frame, performing motion estimation to determine one or more motion vectors associated with global frame motion for image data of the first frame, performing an outlier rejection function to select at least one of the one or more motion vectors, and determining a global transformation for image data of the first frame based, at least in part, on motion vectors selected by the outlier rejection function. The method may further include determining a stabilization transformation for image data of the first frame by refining the global transformation to correct for unintentional motion and applying the stabilization transformation to image data of the first frame to stabilize the image data of the first frame.

43 citations

Patent
10 Oct 1997
TL;DR: In this paper, a first encoding subsystem is employed to analyze the sequence of video frames to derive information on at least one characteristic thereof, such as motion statistics, non-motion statistics, scene change statistics, or scene fade statistics.
Abstract: Method, system and computer program product are provided for adaptively encoding in hardware, software or a combination thereof a sequence of video frames in real-time. A first encoding subsystem is employed to analyze the sequence of video frames to derive information on at least one characteristic thereof, such as motion statistics, non-motion statistics, scene change statistics, or scene fade statistics. The gathered information may comprise either an intraframe characteristic or an interframe characteristic. A second encoding subsystem, coupled to the first encoding subsystem, encodes the sequence of video frames employing at least one controllable parameter. The second encoding subsystem dynamically adapts intraframe or interframe encoding of the sequence of video frames by adjusting the at least one controllable parameter used in the encoding process in response to the derived information from the first encoding subsystem.

43 citations

Proceedings ArticleDOI
01 Dec 2002
TL;DR: A new method of video image processing that exploits multiple differently exposed pictures (frames of the video sequence) of overlapping subject matter is thus possible and may be used whenever a video camera having automatic exposure captures multiple frames of video with the same subject matter appearing in regions of overlap between at least some of the successive video frames.
Abstract: When we ask the fundamental question "What does a camera measure?", we arrive at the concept of quantimetric imaging, which uses a new quantimetric unit, q, characteristic of a particular camera (e.g. each kind of camera defines its own quantimetric unit q based on its spectral response, etc.). Fluctuations in interframe exposures, along a sequence of images, give rise to a comparametric relationship between successive pairs of images. This allows us to estimate the response function of the camera (to derive the quantimetric unit q) as well as the relative differences in exposure. A new method of video image processing that exploits multiple differently exposed pictures (frames of the video sequence) of overlapping subject matter is thus possible. The method may be used whenever a video camera having automatic exposure captures multiple frames of video with the same subject matter appearing in regions of overlap between at least some of the successive video frames. Since almost all cameras have an automatic exposure feature, typically center weighted, when a light object falls in the center of the frame the exposure is automatically decreased, whereas the exposure is automatically increased when the camera swings around to point at a darker object. Such fluctuations in gain may be used to estimate the camera's response function, to estimate exposure differences, to do quantimetric processing, as well as to obtain images having both extended dynamic range and extended dynamic domain.

43 citations

Proceedings ArticleDOI
04 Dec 1990
TL;DR: The simulations and experiments with long image sequences of real world scenes indicate that the optimization method developed greatly reduces the computational complexity and substantially improves the motion and structure estimation over that produced by linear algorithms.
Abstract: The issue of optimal motion and structure estimation from monocular image sequences with a rigidity scene is addressed. The method has the following characteristics: the dimension of the search space in the nonlinear optimization is drastically reduced by exploiting the relationship between structure and motion parameters; the degree of reliability of the observations and estimates is effectively taken into account; the proposed formulation allows arbitrary interframe motion; and the information about the structure of the scene, acquired from previous images, is systematically integrated into the new estimations. It is shown that any scale factor associated with two consecutive images in a monocular sequence is determined by the scale factor of the first two images. The simulations and experiments with long image sequences of real world scenes indicate that the optimization method developed greatly reduces the computational complexity and substantially improves the motion and structure estimation over that produced by linear algorithms. >

43 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202324
202272
202162
202084
2019110
201897