Camera shot boundary detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (7 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
  23 May 2017 5 repositories listed
  Shot boundary detection (SBD) is an important component of many video analysis tasks, such as action recognition, video indexing, summarization and editing.
• SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
  26 Nov 2020 4 repositories listed
  In this work, we propose SoccerNet-v2, a novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research in soccer understanding and broadcast…
• TransNet V2: An effective deep network architecture for fast shot transition detection
  11 Aug 2020 4 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  Although automatic shot transition detection approaches are already investigated for more than two decades, an effective universal human-level model was not proposed yet.
• TransNet: A deep network for fast detection of common shot transitions
  8 Jun 2019 4 repositories listed
  Shot boundary detection (SBD) is an important first step in many video processing applications.
• Fast Video Shot Transition Localization with Deep Structured Models
  13 Aug 2018 4 repositories listed
  In order to train a high-performance shot transition detector, we contribute a new database ClipShots, which contains 128636 cut transitions and 38120 gradual transitions from 4039 online videos.
• Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks
  9 May 2017 4 repositories listed
  Since current datasets are not large enough to train an accurate SBD CNN, we present a new dataset containing more than 3.
• A novel automatic shot boundary detection algorithm: robust to illumination and motion effect
  10 Nov 2019 1 repository listed
  Many researches have been done on shot boundary detection, but the performance of shot boundary detection approaches is yet to be addressed for the videos having sudden illumination and object/camera motion effects…

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.