Why is unzipped file smaller than zipped fileFile was deleted and then reappeared when folder was zippedHow to zip a big folder into small files limited to 20Mb?Can a Zip File Become Damaged from Repeated Unzipping?How to delete unwanted directory paths in zipped file?How to handle duplicate files during runtimeRezip file without creating temporariesUnzip File: Permission DeniedUnable to get data from unzipped fileRecovering password from zip fileunzipping and re-zipping a file results in a different hash
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Why is unzipped file smaller than zipped file
File was deleted and then reappeared when folder was zippedHow to zip a big folder into small files limited to 20Mb?Can a Zip File Become Damaged from Repeated Unzipping?How to delete unwanted directory paths in zipped file?How to handle duplicate files during runtimeRezip file without creating temporariesUnzip File: Permission DeniedUnable to get data from unzipped fileRecovering password from zip fileunzipping and re-zipping a file results in a different hash
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I unzipped a zipped file using zip -l but what get is a dir smaller than what it was before unzipping. Unzipped dir has all the files mostly videos. Am I missing something?
bash output of command ls -alh:
centos zip unzip
edited 2 hours ago
Twisty Impersonator
19.1k1468101
asked 2 hours ago
bluedroidbluedroid
111
New contributor
bluedroid is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
I unzipped a zipped file using zip -l but what get is a dir smaller than what it was before unzipping. Unzipped dir has all the files mostly videos. Am I missing something?
bash output of command ls -alh:
centos zip unzip
edited 2 hours ago
Twisty Impersonator
19.1k1468101
asked 2 hours ago
bluedroidbluedroid
111
New contributor
bluedroid is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
2
Video files are compressed (and almost always with a lossy codec). Trying to compress an already-compressed file usually results in a larger file. File compression relies on finding repeating patterns, and only the first application of compression produces the maximum benefit.
– sawdust
2 hours ago
Instead of ls -lah, try using du -h on the directory
– hojusaram
3 mins ago
add a comment |
I unzipped a zipped file using zip -l but what get is a dir smaller than what it was before unzipping. Unzipped dir has all the files mostly videos. Am I missing something?
bash output of command ls -alh:
centos zip unzip
edited 2 hours ago
Twisty Impersonator
19.1k1468101
asked 2 hours ago
bluedroidbluedroid
111
New contributor
bluedroid is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I unzipped a zipped file using zip -l but what get is a dir smaller than what it was before unzipping. Unzipped dir has all the files mostly videos. Am I missing something?
bash output of command ls -alh:
centos zip unzip
centos zip unzip
edited 2 hours ago
Twisty Impersonator
19.1k1468101
asked 2 hours ago
bluedroidbluedroid
111
New contributor
bluedroid is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 hours ago
Twisty Impersonator
19.1k1468101
asked 2 hours ago
bluedroidbluedroid
111
New contributor
bluedroid is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 hours ago
Twisty Impersonator
19.1k1468101
edited 2 hours ago
Twisty Impersonator
19.1k1468101
edited 2 hours ago
Twisty Impersonator
19.1k1468101
19.1k1468101
asked 2 hours ago
bluedroidbluedroid
111
New contributor
bluedroid is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 hours ago
bluedroidbluedroid
111
asked 2 hours ago
bluedroidbluedroid
111
111
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bluedroid is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
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Check out our Code of Conduct.
2
Video files are compressed (and almost always with a lossy codec). Trying to compress an already-compressed file usually results in a larger file. File compression relies on finding repeating patterns, and only the first application of compression produces the maximum benefit.
– sawdust
2 hours ago
Instead of ls -lah, try using du -h on the directory
– hojusaram
3 mins ago
add a comment |
2
Video files are compressed (and almost always with a lossy codec). Trying to compress an already-compressed file usually results in a larger file. File compression relies on finding repeating patterns, and only the first application of compression produces the maximum benefit.
– sawdust
2 hours ago
Instead of ls -lah, try using du -h on the directory
– hojusaram
3 mins ago
2
2
Video files are compressed (and almost always with a lossy codec). Trying to compress an already-compressed file usually results in a larger file. File compression relies on finding repeating patterns, and only the first application of compression produces the maximum benefit.
– sawdust
2 hours ago
Video files are compressed (and almost always with a lossy codec). Trying to compress an already-compressed file usually results in a larger file. File compression relies on finding repeating patterns, and only the first application of compression produces the maximum benefit.
– sawdust
2 hours ago
Instead of ls -lah, try using du -h on the directory
– hojusaram
3 mins ago
Instead of ls -lah, try using du -h on the directory
– hojusaram
3 mins ago
add a comment |
2 Answers
2
active
oldest
votes
The size of a directory as shown in your screenshot isn't the sum of the size of the contents, it is the size of the meta-data associated with the directory - file names, etc.
https://unix.stackexchange.com/questions/55/what-does-size-of-a-directory-mean-in-output-of-ls-l-command
To find out how much space the directory contents are using, you can use
du -sh /path/to/directory
answered 2 hours ago
ivanivanivanivan
1,41937
add a comment |
Compression algorithms are typically divided into two categories:
- Lossy and 2. Lossless
Most compression algorithms which deals with lossy compression, meaning that
some non-essential bits of information is throwed away, are domain specific for the type of data it is trying to compress. Examples of such are
Jpeg for pictures, H.264 for video and Mp3 for audio. The reason why they are domain specific is that some kind of model is required how the data is perceived by humans. In Mp3 psycho-aucustic models are used to determine how various lossy transformations on the data affects how we humans perceives the audio.
The majority of general purpose compression algorithms like Zip files (which uses the Deflate algorithm) and XZ and 7zip which uses the ZMA/LZMA2 algorithms are general purpose lossless algorithms that uses information encoding theory only.
There are several lossless domain specific compression formats and algorithms as well. Examples are common: Portable Network Graphics (PNG) for pictures, HEVC / H.265 for video and FLAC for audio. These algorithms will typically perform slightly better than a general purpose compression algorithm on domain data, but fail on generic data, for which it was never designed to operate on.
If a general purpose compression algorithm fails to reduce the size of the input data set you can maybe have better success trying a domain specific lossless algorithm on your data. For example, for video data, you might want to try the x265 encoder: https://x265.readthedocs.io/en/default/lossless.html
answered 2 hours ago
user3504575user3504575
172
New contributor
user3504575 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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1
This is all true, but completely irrelevant to the question.
– Michael Hampton
1 hour ago
@MichaelHampton However, this answer will probably be more likely what is being searched for when finding this question on google.
– Ajay
36 mins ago
1
@Ajay That seems strange to me but in that case, it probably should be an answer to a different question.
– Michael Hampton
30 mins ago
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
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active
oldest
votes
The size of a directory as shown in your screenshot isn't the sum of the size of the contents, it is the size of the meta-data associated with the directory - file names, etc.
https://unix.stackexchange.com/questions/55/what-does-size-of-a-directory-mean-in-output-of-ls-l-command
To find out how much space the directory contents are using, you can use
du -sh /path/to/directory
answered 2 hours ago
ivanivanivanivan
1,41937
add a comment |
The size of a directory as shown in your screenshot isn't the sum of the size of the contents, it is the size of the meta-data associated with the directory - file names, etc.
https://unix.stackexchange.com/questions/55/what-does-size-of-a-directory-mean-in-output-of-ls-l-command
To find out how much space the directory contents are using, you can use
du -sh /path/to/directory
answered 2 hours ago
ivanivanivanivan
1,41937
add a comment |
The size of a directory as shown in your screenshot isn't the sum of the size of the contents, it is the size of the meta-data associated with the directory - file names, etc.
https://unix.stackexchange.com/questions/55/what-does-size-of-a-directory-mean-in-output-of-ls-l-command
To find out how much space the directory contents are using, you can use
du -sh /path/to/directory
answered 2 hours ago
ivanivanivanivan
1,41937
The size of a directory as shown in your screenshot isn't the sum of the size of the contents, it is the size of the meta-data associated with the directory - file names, etc.
https://unix.stackexchange.com/questions/55/what-does-size-of-a-directory-mean-in-output-of-ls-l-command
To find out how much space the directory contents are using, you can use
du -sh /path/to/directory
answered 2 hours ago
ivanivanivanivan
1,41937
answered 2 hours ago
ivanivanivanivan
1,41937
answered 2 hours ago
ivanivanivanivan
1,41937
answered 2 hours ago
ivanivanivanivan
1,41937
1,41937
add a comment |
add a comment |
Compression algorithms are typically divided into two categories:
- Lossy and 2. Lossless
Most compression algorithms which deals with lossy compression, meaning that
some non-essential bits of information is throwed away, are domain specific for the type of data it is trying to compress. Examples of such are
Jpeg for pictures, H.264 for video and Mp3 for audio. The reason why they are domain specific is that some kind of model is required how the data is perceived by humans. In Mp3 psycho-aucustic models are used to determine how various lossy transformations on the data affects how we humans perceives the audio.
The majority of general purpose compression algorithms like Zip files (which uses the Deflate algorithm) and XZ and 7zip which uses the ZMA/LZMA2 algorithms are general purpose lossless algorithms that uses information encoding theory only.
There are several lossless domain specific compression formats and algorithms as well. Examples are common: Portable Network Graphics (PNG) for pictures, HEVC / H.265 for video and FLAC for audio. These algorithms will typically perform slightly better than a general purpose compression algorithm on domain data, but fail on generic data, for which it was never designed to operate on.
If a general purpose compression algorithm fails to reduce the size of the input data set you can maybe have better success trying a domain specific lossless algorithm on your data. For example, for video data, you might want to try the x265 encoder: https://x265.readthedocs.io/en/default/lossless.html
answered 2 hours ago
user3504575user3504575
172
New contributor
user3504575 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
This is all true, but completely irrelevant to the question.
– Michael Hampton
1 hour ago
@MichaelHampton However, this answer will probably be more likely what is being searched for when finding this question on google.
– Ajay
36 mins ago
1
@Ajay That seems strange to me but in that case, it probably should be an answer to a different question.
– Michael Hampton
30 mins ago
add a comment |
Compression algorithms are typically divided into two categories:
- Lossy and 2. Lossless
Most compression algorithms which deals with lossy compression, meaning that
some non-essential bits of information is throwed away, are domain specific for the type of data it is trying to compress. Examples of such are
Jpeg for pictures, H.264 for video and Mp3 for audio. The reason why they are domain specific is that some kind of model is required how the data is perceived by humans. In Mp3 psycho-aucustic models are used to determine how various lossy transformations on the data affects how we humans perceives the audio.
The majority of general purpose compression algorithms like Zip files (which uses the Deflate algorithm) and XZ and 7zip which uses the ZMA/LZMA2 algorithms are general purpose lossless algorithms that uses information encoding theory only.
There are several lossless domain specific compression formats and algorithms as well. Examples are common: Portable Network Graphics (PNG) for pictures, HEVC / H.265 for video and FLAC for audio. These algorithms will typically perform slightly better than a general purpose compression algorithm on domain data, but fail on generic data, for which it was never designed to operate on.
If a general purpose compression algorithm fails to reduce the size of the input data set you can maybe have better success trying a domain specific lossless algorithm on your data. For example, for video data, you might want to try the x265 encoder: https://x265.readthedocs.io/en/default/lossless.html
answered 2 hours ago
user3504575user3504575
172
New contributor
user3504575 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
This is all true, but completely irrelevant to the question.
– Michael Hampton
1 hour ago
@MichaelHampton However, this answer will probably be more likely what is being searched for when finding this question on google.
– Ajay
36 mins ago
1
@Ajay That seems strange to me but in that case, it probably should be an answer to a different question.
– Michael Hampton
30 mins ago
add a comment |
Compression algorithms are typically divided into two categories:
- Lossy and 2. Lossless
Most compression algorithms which deals with lossy compression, meaning that
some non-essential bits of information is throwed away, are domain specific for the type of data it is trying to compress. Examples of such are
Jpeg for pictures, H.264 for video and Mp3 for audio. The reason why they are domain specific is that some kind of model is required how the data is perceived by humans. In Mp3 psycho-aucustic models are used to determine how various lossy transformations on the data affects how we humans perceives the audio.
The majority of general purpose compression algorithms like Zip files (which uses the Deflate algorithm) and XZ and 7zip which uses the ZMA/LZMA2 algorithms are general purpose lossless algorithms that uses information encoding theory only.
There are several lossless domain specific compression formats and algorithms as well. Examples are common: Portable Network Graphics (PNG) for pictures, HEVC / H.265 for video and FLAC for audio. These algorithms will typically perform slightly better than a general purpose compression algorithm on domain data, but fail on generic data, for which it was never designed to operate on.
If a general purpose compression algorithm fails to reduce the size of the input data set you can maybe have better success trying a domain specific lossless algorithm on your data. For example, for video data, you might want to try the x265 encoder: https://x265.readthedocs.io/en/default/lossless.html
answered 2 hours ago
user3504575user3504575
172
New contributor
user3504575 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Compression algorithms are typically divided into two categories:
- Lossy and 2. Lossless
Most compression algorithms which deals with lossy compression, meaning that
some non-essential bits of information is throwed away, are domain specific for the type of data it is trying to compress. Examples of such are
Jpeg for pictures, H.264 for video and Mp3 for audio. The reason why they are domain specific is that some kind of model is required how the data is perceived by humans. In Mp3 psycho-aucustic models are used to determine how various lossy transformations on the data affects how we humans perceives the audio.
The majority of general purpose compression algorithms like Zip files (which uses the Deflate algorithm) and XZ and 7zip which uses the ZMA/LZMA2 algorithms are general purpose lossless algorithms that uses information encoding theory only.
There are several lossless domain specific compression formats and algorithms as well. Examples are common: Portable Network Graphics (PNG) for pictures, HEVC / H.265 for video and FLAC for audio. These algorithms will typically perform slightly better than a general purpose compression algorithm on domain data, but fail on generic data, for which it was never designed to operate on.
If a general purpose compression algorithm fails to reduce the size of the input data set you can maybe have better success trying a domain specific lossless algorithm on your data. For example, for video data, you might want to try the x265 encoder: https://x265.readthedocs.io/en/default/lossless.html
answered 2 hours ago
user3504575user3504575
172
New contributor
user3504575 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 2 hours ago
user3504575user3504575
172
New contributor
user3504575 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 2 hours ago
user3504575user3504575
172
answered 2 hours ago
user3504575user3504575
172
172
New contributor
user3504575 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
user3504575 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
This is all true, but completely irrelevant to the question.
– Michael Hampton
1 hour ago
@MichaelHampton However, this answer will probably be more likely what is being searched for when finding this question on google.
– Ajay
36 mins ago
1
@Ajay That seems strange to me but in that case, it probably should be an answer to a different question.
– Michael Hampton
30 mins ago
add a comment |
1
This is all true, but completely irrelevant to the question.
– Michael Hampton
1 hour ago
@MichaelHampton However, this answer will probably be more likely what is being searched for when finding this question on google.
– Ajay
36 mins ago
1
@Ajay That seems strange to me but in that case, it probably should be an answer to a different question.
– Michael Hampton
30 mins ago
1
1
This is all true, but completely irrelevant to the question.
– Michael Hampton
1 hour ago
This is all true, but completely irrelevant to the question.
– Michael Hampton
1 hour ago
@MichaelHampton However, this answer will probably be more likely what is being searched for when finding this question on google.
– Ajay
36 mins ago
@MichaelHampton However, this answer will probably be more likely what is being searched for when finding this question on google.
– Ajay
36 mins ago
1
1
@Ajay That seems strange to me but in that case, it probably should be an answer to a different question.
– Michael Hampton
30 mins ago
@Ajay That seems strange to me but in that case, it probably should be an answer to a different question.
– Michael Hampton
30 mins ago
add a comment |
bluedroid is a new contributor. Be nice, and check out our Code of Conduct.
bluedroid is a new contributor. Be nice, and check out our Code of Conduct.
bluedroid is a new contributor. Be nice, and check out our Code of Conduct.
bluedroid is a new contributor. Be nice, and check out our Code of Conduct.
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2
Video files are compressed (and almost always with a lossy codec). Trying to compress an already-compressed file usually results in a larger file. File compression relies on finding repeating patterns, and only the first application of compression produces the maximum benefit.
– sawdust
2 hours ago
Instead of ls -lah, try using du -h on the directory
– hojusaram
3 mins ago