6 results about "Multiple hypothesis" patented technology

Methods and apparatus of video coding using new Sample-based Prediction Offset (SPO) are disclosed. According to one method, SPO for coding systems with multiple hypothesis is derived based on a template area of the current block and PRW (Position-Related Weighting) to refine prediction. In one embodiment, SPO can be applied to the final prediction. In another embodiment, SPO can be applied to each of the multiple hypothesis or some of them. In yet another method, the SPO is applied to the final prediction, or each of the multiple hypothesis or some of them selectively. In yet another method, the SPO and OBMC (Overlapped Block Motion Compensation) are both applied to a coding block.

Systems and methods are described for video coding using generalized bi-prediction. In an exemplary embodiment, to code a current block of a video in a bitstream, a first reference block is selected from a first reference picture and a second reference block is selected from a second reference picture. Each reference block is associated with a weight, where the weight may be an arbitrary weight ranging, e.g., between 0 and 1. The current block is predicted using a weighted sum of the reference blocks. The weights may be selected from among a plurality of candidate weights. Candidate weights may be signaled in the bitstream or may be derived implicitly based on a template. Candidate weights may be pruned to avoid out-of-range or substantially duplicate candidate weights. Generalized bi-prediction may additionally be used in frame rate up conversion.

A multi-hypothesis positioning method includes: receiving, at an apparatus from a digital twin function, multi-hypothesis positioning assistance data; and determining to implement multi-hypothesis positioning based on at least a subset of the multi-hypothesis positioning assistance data.

This invention discloses a method for reverse tracing of submerged oil pollution sources based on knowledge graphs and spatiotemporal big data, relating to the field of environmental monitoring technology. The method includes: collecting multi-source heterogeneous spatiotemporal data and aligning and fusing it to form a fused spatiotemporal dataset; constructing a dynamic spatiotemporal association knowledge graph centered on pollution events based on the fused spatiotemporal dataset to form an initial source-tracing association knowledge subgraph; generating a spatiotemporal backtracking probability field based on a reverse spatiotemporal probability field simulation using multiple hypothesis sets; and inputting the initial source-tracing association knowledge subgraph into a hidden behavior discrimination model trained on a generative adversarial network to identify high-confidence hidden behavior patterns. This invention uses a counterfactual causal inference framework to evaluate and rank the causal effects of associated entities in the converged source-tracing association knowledge graph, obtaining reverse tracing conclusions, thereby achieving accurate, reliable, and interpretable intelligent tracing of submerged oil pollution sources.

Entropy coding a sequence of syntax elements using a selective update of a multi-hypothesis probability estimation is described. A sequence of syntax elements is received, where the sequence of syntax elements is associated with a random variable of multiple random variables to be coded. Whether the sequence of syntax elements is entropy coded using a single hypothesis probability model or a multi-hypothesis probability model is determined based on the random variable. Fewer than all multiple random variables are coded using a respective multi-hypothesis probability model. The method also includes determining a symbol for a syntax element of the sequence and entropy coding, using arithmetic coding, the symbol using the single hypothesis probability model or the multi-hypothesis probability model determined based on the random variable. Thereafter, the single hypothesis probability model or the multi-hypothesis probability model determined based on the random variable is updated.