Inter frame

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

Inter-frame Video Forgery Detection Based on Block-Wise Brightness Variance Descriptor

Abstract: Video forensics becomes more and more important than ever before. In this paper a new methodology based on Block-wise Brightness Variance Descriptor (BBVD) is proposed. It is capable of fast detecting video inter-frame forgery. Our proposed algorithm has been tested on a database consisting of 240 original and forged videos. The experiments have demonstrated that the precision rate is about 94.09 % in detecting the insertion forgery and the precision rate is 79.45 % in the forgery localization. Moreover, the time utilized for forgery detecting is shorter than the time used for video replay. On average the time of forgery detection is only about 73.4 % in video replay.

Systems and Methods for Video Content Analysis

Abstract: Video analytics systems and methods are described that typically comprise a video encoder operable to generate macroblock video analytics metadata (VAMD) from a video frame. Functional modules receive the VAMD and an encoded version of the video frame is configured to generate video analytics information related to the frame using the VAMD and the encoded video frame. The downstream decoder can use the VAMD to obtain a global motion vector related to the frame, detect and track motion of an object within the frame and monitor a line provided or found within the frame. Traversals of the line by a moving object can be detected and counted using information in the VAMD and the line may be part of a polygon that delineates an area to be monitored within the encoded frame. The VAMD can comprise macroblock level and video frame level information.

Apparatus and method for encoding and decoding digital video data

Abstract: Digital video data encoder and decoder operate to enable the low and high speed reproduction of variable rate encoded digital video data by reproducing and decoding intraframe encoded frames that are identified by previously reproduced intraframe encoded frames. In the encoder, digital video data is variable rate encoded (1), for example, intraframe and interframe encoded entry points (i.e., beginning positions) of selected encoded video data are identified and which represent video frames that occur at predetermined intervals of time (e.g., 1, 2 and 4 seconds) in the video picture. Entry point data that identify these positions are generated (31, 8, 33) and added (32, 6) to the encoded video data before the video data is recorded on the record medium (DSM). When the encoded data is reproduced from the record medium, the entry point data is extracted therefrom and stored, and a successive intraframe encoded frame identified by the extracted entry point data is reproduced and decoded. The invention further provides for a record medium having thereon the encoded digital video data, and also provides for an encoder and corresponding decoder which encode and decode, respectively, digital still image and audio data in which entry points refer to each of the still images and also to particular intervals of time of the audio data.

Nonlinear, in-the-loop, denoising filter for quantization noise removal for hybrid video compression

Abstract: A method and apparatus is disclosed herein for using an in-the-loop denoising filter for quantization noise removal for video compression. In one embodiment, the video encoder comprises a transform coder to apply a transform to a residual frame representing a difference between a current frame and a first prediction, the transform coder outputting a coded differential frame as an output of the video encoder; a transform decoder to generate a reconstructed residual frame in response to the coded differential frame; a first adder to create a reconstructed frame by adding the reconstructed residual frame to the first prediction; a non-linear denoising filter to filter the reconstructed frame by deriving expectations and performing denoising operations based on the expectations; and a prediction module to generate predictions, including the first prediction, based on previously decoded frames.

Inter-frame passive-blind forgery detection for video shot based on similarity analysis

Abstract: Frame insertion, deletion and duplication are common inter-frame tampering operations in digital videos. In this paper, based on similarity analysis, a passive-blind forensics scheme for video shots is proposed to detect inter-frame forgeries. This method is composed of two parts: HSV (Hue-Saturation-Value) color histogram comparison and SURF (Speeded Up Robust Features) feature extraction together with FLANN (Fast Library for Approximate Nearest Neighbors) matching for double-checking. We mainly calculate H-S and S-V color histograms of every frame in a video shot and compare the similarity between histograms to detect and locate tampered frames in the shot. Then we utilize SURF feature extraction and FLANN matching to further confirm the forgery types in the tampered locations. Experimental results demonstrate that the proposed detection method is efficient and accurate in terms of forgery identification and localization. In contrast to other inter-frame forgery detection methods, our scheme can detect three kinds of forgery operations and has its own superiority and applicability as a passive-blind detection method.