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Frontier Radar — Video Codec

Where the 2025/26 research frontier is moving, and where Nishi should test, deepen, or research next.

How this works. The nishi researcher banked the current (2024-2026) frontier for this domain over sovereign TLS (keyless OpenAlex/arXiv). For each capability axis this radar measures frontier momentum = how often the frontier corpus mentions it, times our organ presence (probed on disk). Absent + hot = a research opportunity / where to test. Corpus measured: 2603164 bytes. Generated by nx_swcompare_gapmap over a data-only domain spec (video.q + video.axes) — zero domain-specific code.
Top research opportunities (the 2025/26 frontier is active here and Nishi has no organ yet):

Capability axes

Capability axisNishi organFrontier momentum (2025/26)Signal
Perceptual / generative codingabsent
249 mentions
perceptual=22; generative=170; diffusion=57
OPPORTUNITY
Block transform (integer DCT 4x4/8x8)present
59 mentions
transform=59; dct=0
COVERED
Trained restoration post-filterpresent
40 mentions
post-filter=2; restoration=1; denois=37
COVERED
End-to-end neural codecabsent
31 mentions
neural video codec=3; learned compression=3; end-to-end=25
OPPORTUNITY
Inter prediction (quarter-pel MC, RD-selected partitions)present
26 mentions
inter predict=6; motion compensat=20; sub-pixel=0
COVERED
Advanced tools (AV1 / VVC-class)absent
21 mentions
versatile video coding=11; av1=10; affine motion=0
OPPORTUNITY
Context-adaptive range coder (live entropy lane)present
19 mentions
entropy coding=4; arithmetic coding=6; context-adaptive=9; cabac=0
COVERED
Bitstream writerpresent
14 mentions
bitstream=14
COVERED
B-frames / hierarchical GOPabsent
12 mentions
b-frame=2; hierarchical=10; bi-predict=0; bidirectional=0
OPPORTUNITY
Implicit neural representation (INR)absent
11 mentions
implicit neural representation=11; coordinate network=0
OPPORTUNITY
Hardware-accelerated encode (WebCodecs / GPU)absent
7 mentions
hardware encod=0; gpu encod=0; webcodecs=0; accelerat=7
OPPORTUNITY
Learned rate-distortion / entropy modelabsent
6 mentions
rate distortion=3; learned entropy=0; entropy model=3
OPPORTUNITY
Larger transforms (16/32/64, CTU quadtree)absent
4 mentions
large transform=0; 32x32=0; coding tree=2; ctu=2
OPPORTUNITY
Real-bit rate-distortion optimisation (skip + transform trial)present
3 mentions
rate-distortion optim=2; rdo=0; mode decision=0; lagrang=1
COVERED
Intra prediction (9 modes + MPM)present
0 mentions
intra predict=0; spatial prediction=0
COVERED
Deblocking / in-loop filterpresent
0 mentions
deblock=0; in-loop filter=0; loop filter=0
COVERED
Advanced in-loop filters (SAO / CDEF / loop restoration)absent
0 mentions
sample adaptive offset=0; cdef=0; loop restoration=0
dormant
Tile / band-parallel HD encode (rich codec in the band path)absent
0 mentions
tile=0; parallel encod=0; multi-thread=0; wavefront=0
dormant
Legacy entropy coding (CAVLC, H.264 lane)present
0 mentions
cavlc=0; variable-length=0
COVERED
Chroma / colorpresent
0 mentions
chroma=0
COVERED

Opportunities 8 · covered 10 · dormant 2

frontier momentum is a mechanical keyword count over real 2024-2026 works: a keyword counts where a word starts, in any letter case, and each axis lists its per-keyword counts so a keyword that saturates is visible; our presence is probed on disk. A discovery signal, not a ranking of importance. Zero JS, zero trackers.