Adaptive Selection of Motion Estimation Block Size for Rate-Distortion Optimization

Gohokar, V. V.; Gohokar, V.N.

doi:10.5120/2205-2802

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Step 4: The smallest value is the (center location) and a new nine cost function are calculated surrounding this location [7,8,12,13]. The smallest value is the final estimate of the motion vector.…”

Section: Adaptive Four Step Search For Motion Estimation Technique (Amentioning

confidence: 99%

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Adaptive inter frame compression using image segmented technique

Ismeel¹

2019

IJP

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The computer vision branch of the artificial intelligence field is concerned with developing algorithms for analyzing video image content. Extracting edge information, which is the essential process in most pictorial pattern recognition problems. A new method of edge detection technique has been introduces in this research, for detecting boundaries. Selection of typical lossy techniques for encoding edge video images are also discussed in this research. The concentration is devoted to discuss the Block-Truncation coding technique and Discrete Cosine Transform (DCT) coding technique. In order to reduce the volume of pictorial data which one may need to store or transmit, the research modifies a method for video image data compression based on the two-component code; in this coding technique, the video image is partitioned into regions of slowly varying intensity. The contours separating the regions are coded by DCT, while the rest image regions are coded by Block-Truncation Coding. this hybrid coding technique called segmented image coding (SIC). Also in this paper A modify of the four step search for motion Estimation technique was produce. for searching scheme has been introduced which is contributed in decreasing the motion estimation searching time of the successive inter frames.

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Section: Adaptive Four Step Search For Motion Estimation Technique (Amentioning

confidence: 99%

“…In what follows we shall explain the procedures involve in our segmented image coding SIC. The adaptation imposed, in our present work, on those likely based published techniques will be demonstrated by the following [6,7,11].…”

Section: Introductionmentioning

confidence: 99%

Adaptive inter frame compression using image segmented technique

Ismeel¹

2019

IJP

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“…Gohokar and Gohokar [1] strategy selects block sizes taking into account texture information which is based on the energy in the AC coefficients of the discrete cosine transform. The algorithm stops block size reduction for visually irrelevant regions.…”

Section: Related Workmentioning

confidence: 99%

Edge-Based Coding Tree Unit Partitioning Strategy in Inter Prediction

Santamaría¹,

Trujillo²

2014

Advanced Information Systems Engineering

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The High Efficiency Video Coding standard increases in the range of [30, 40]% data compression ratio compared to H.264/MPEG-4 (AVC), but it requires bigger number of operations. HEVC uses a quadtree coding structure. The quadtree partitioning process is a high complexity operation since it employs an exhaustive process, called rate distortion optimisation, which involves all possible combinations of quadtree partitions. In this paper, a frame partitioning strategy is addressed using motion features. Motion features are edges extracted using Gaussian smoothing, the Sobel operators, and the Otsu's method. The strategy achieves CU partitions according to the amount of motion in content, and reduces the number of operations in the inter prediction mode.

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Adaptive Selection of Motion Estimation Block Size for Rate-Distortion Optimization

Cited by 2 publications

References 9 publications

Adaptive inter frame compression using image segmented technique

Adaptive inter frame compression using image segmented technique

Edge-Based Coding Tree Unit Partitioning Strategy in Inter Prediction

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