PATENT CLAIM ANALYSIS

Application Number: 15748503
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-09
Patent Classification: ["375", "240260"]

Abstract:
A technique for displaying 3D videos creates a representation of image deformation, such as depth maps, in terms of a function for overlaying kernels with variable support and order. By optimizing the kernel type, order and support, which are allowed to be varied across different region of the deformation, it is able to approximate the image deformations in terms of the kernel parameters. Since the number of kernel parameters is usually much smaller than that of the number of pixels, this allows a significant reduction in the storage size of the image deformation.

Claim (Index 20):
A method of decoding image deformation information encoded according to  claim 1  into a data structure that includes overhead (in the form of an indicator of fix/variable support F/V, the number of kernels per column Px, number of kernels per row Py, kernel bandwidth/support in the x-direction hx,p and kernel bandwidth/support in the y-direction hy,p, scaling parameters and the maximum kernel order Lp or mod e p ) followed by the kernel parameters, comprising the steps of:\n (1) reading the pad length PL, and the difference of binary digits between adjacent categories Q; \n (2) reading the symbols isDiff, Diff, Ref and IsSign, if they are compressed, decompress them using their respective dictionaries; \n (3) decoding the first chunk/block by reading the first symbol in the de-compressed isDiff, which contains all the symbols for indicating whether there is change in category for each of the kernel parameters; \n (4) creating v=1, 2, . . . V variables for storing the categories for the V parameters, for each of the variables v=2, 3, . . . V, if the v-th bit of the isDiff symbol is 1, read a symbol from Diff, adding the difference to the v-th variable; \n reading the first Ref symbol, add the reference category to each of the v-th variable and save the 1 st  variable as the reference category; \n (5) after obtaining the categories for the V parameters, obtaining the word length of each of the parameters and then reading the V parameters from the data-stream in accordance with the obtained word lengths; and \n (6) repeating steps (2)-(5) for subsequent chunks/blocks.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 86.0
- Lexical Diversity: 1.64516
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15346678', '15748576', '11429685', '15441530', '10539684']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4499016299313947
- 35 USC 102 Novelty (BERT): 0.4916740699770246
- Combined Prediction Score: 0.4540788739359577
- Mean Citation Score: 159.19195
- Max Citation Score: 179.57376000000005
- Similarity Product: 114.15814096618656

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test