Replication Data for: Feed-forward Neural Networks for Video Scene Classification from Statistical Features
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'A set of colour histograms extracted from a sitcom The Big Bang Theory primarily used for scene recognition.All files are stored in Python2 pickle format.Dictionary data are stored in ordinary python dict, numerical data use a numpy library.Each zipfile includes a single episode. frame_count.p: an information on episode length in frames splits.p: list of detected shots :d{3}.p: dict with 'scene' key. :d{3}_h.p: 180-bin Hue histogram :d{3}_s.p: 256-bin Saturation histogram :d{3}_v.p: 256-bin Value histogram :d{3}_rgb_8.p: Linearised 8*8*8 RGB histogram :d{3}_hsv_20_4_4_2x2.p: Linearised histogram with 20H*4S*4V bins of picture divided into 2x2 gri' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["colour histogram","scene recognition","video"]} <|eot_id|>
 Here is the Description of a dataset. Description:'A set of colour histograms extracted from a sitcom The Big Bang Theory primarily used for scene recognition.All files are stored in Python2 pickle format.Dictionary data are stored in ordinary python dict, numerical data use a numpy library.Each zipfile includes a single episode. frame_count.p: an information on episode length in frames splits.p: list of detected shots :d{3}.p: dict with 'scene' key. :d{3}_h.p: 180-bin Hue histogram :d{3}_s.p: 256-bin Saturation histogram :d{3}_v.p: 256-bin Value histogram :d{3}_rgb_8.p: Linearised 8*8*8 RGB histogram :d{3}_hsv_20_4_4_2x2.p: Linearised histogram with 20H*4S*4V bins of picture divided into 2x2 gri' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
A set of colour histograms extracted from a sitcom The Big Bang Theory primarily used for scene recognition.All files are stored in Python2 pickle format.Dictionary data are stored in ordinary python dict, numerical data use a numpy library.Each zipfile includes a single episode. frame_count.p: an information on episode length in frames splits.p: list of detected shots :d{3}.p: dict with 'scene' key. :d{3}_h.p: 180-bin Hue histogram :d{3}_s.p: 256-bin Saturation histogram :d{3}_v.p: 256-bin Value histogram :d{3}_rgb_8.p: Linearised 8*8*8 RGB histogram :d{3}_hsv_20_4_4_2x2.p: Linearised histogram with 20H*4S*4V bins of picture divided into 2x2 gri
colour histogram; scene recognition; video