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Adjust Matroska cue point distribution logic, ensure no duplicate timestamps in cue points, fixing infinite recursion issue

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Vanilagy
2025-10-02 10:44:01 +02:00
parent 1e922e3d72
commit 088d1f1701
2 changed files with 55 additions and 46 deletions
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src/matroska/matroska-demuxer.ts
+37 -39
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@@ -541,53 +541,49 @@ export class MatroskaDemuxer extends Demuxer {
// Put default tracks first
this.currentSegment.tracks.sort((a, b) => Number(b.isDefault) - Number(a.isDefault));
// Sort cue points by cluster position (required for the next algorithm)
this.currentSegment.cuePoints.sort((a, b) => a.clusterPosition - b.clusterPosition);
// Now, let's distribute the cue points to each track. Ideally, each track has their own cue point, but some
// Matroska files may only specify cue points for a single track. In this case, we still wanna use those cue
// points for all tracks.
const allTrackIds = this.currentSegment.tracks.map(x => x.id);
const remainingTrackIds = new Set<number>();
let lastClusterPosition: number | null = null;
let lastCuePoint: CuePoint | null = null;
// Now, let's distribute the cue points to the tracks
const idToTrack = new Map(this.currentSegment.tracks.map(x => [x.id, x]));
// Assign cue points to their respective tracks
for (const cuePoint of this.currentSegment.cuePoints) {
if (cuePoint.clusterPosition !== lastClusterPosition) {
for (const id of remainingTrackIds) {
// These tracks didn't receive a cue point for the last cluster, so let's give them one
assert(lastCuePoint);
const track = this.currentSegment.tracks.find(x => x.id === id)!;
track.cuePoints.push(lastCuePoint);
}
for (const id of allTrackIds) {
remainingTrackIds.add(id);
}
const track = idToTrack.get(cuePoint.trackId);
if (track) {
track.cuePoints.push(cuePoint);
}
lastCuePoint = cuePoint;
if (!remainingTrackIds.has(cuePoint.trackId)) {
continue;
}
const track = this.currentSegment.tracks.find(x => x.id === cuePoint.trackId)!;
track.cuePoints.push(cuePoint);
remainingTrackIds.delete(cuePoint.trackId);
lastClusterPosition = cuePoint.clusterPosition;
}
for (const id of remainingTrackIds) {
assert(lastCuePoint);
const track = this.currentSegment.tracks.find(x => x.id === id)!;
track.cuePoints.push(lastCuePoint);
}
for (const track of this.currentSegment.tracks) {
// Sort cue points by time
track.cuePoints.sort((a, b) => a.time - b.time);
// Remove multiple cue points for the same time
for (let i = 0; i < track.cuePoints.length - 1; i++) {
const cuePoint1 = track.cuePoints[i]!;
const cuePoint2 = track.cuePoints[i + 1]!;
if (cuePoint1.time === cuePoint2.time) {
track.cuePoints.splice(i + 1, 1);
i--;
}
}
}
let trackWithMostCuePoints: InternalTrack | null = null;
let maxCuePointCount = -Infinity;
for (const track of this.currentSegment.tracks) {
if (track.cuePoints.length > maxCuePointCount) {
maxCuePointCount = track.cuePoints.length;
trackWithMostCuePoints = track;
}
}
// For every track that has received 0 cue points (can happen, often only the video track receives cue points),
// we still want to have better seeking. Therefore, let's give it the cue points of the track with the most cue
// points, which should provide us with the most fine-grained seeking.
for (const track of this.currentSegment.tracks) {
if (track.cuePoints.length === 0) {
track.cuePoints = trackWithMostCuePoints!.cuePoints;
}
}
this.currentSegment = null;
@@ -2239,6 +2235,8 @@ abstract class MatroskaTrackBacking implements InputTrackBacking {
// The cue point lied to us! We found a cue point but no cluster there that satisfied the match. In this
// case, let's search again but using the cue point before that.
const previousCuePoint = this.internalTrack.cuePoints[cuePointIndex - 1];
assert(!previousCuePoint || previousCuePoint.time < cuePoint.time);
const newSearchTimestamp = previousCuePoint?.time ?? -Infinity;
return this.performClusterLookup(null, getMatchInCluster, newSearchTimestamp, latestTimestamp, options);
}