Media build for multi-channel distribution
View Patent ↗According to one embodiment, methods and systems are disclosed for converting multi-media content to multiple deliverable formats using a conversion workflow. For example, a single source content file can be captured and a plurality of deliverable content files can be derived from the single source content file. Each of the plurality of deliverable content files can be in a format specific to a different distribution channel. That is, a single source media file can be used to automatically build one or more distribution files for a particular channel or channels. Furthermore, the distribution files can be built including logos, branding, open/close graphics, ratings, promo material, etc. The inclusion of these elements can be based on a common set of business rules defining, for example, what elements should be included in different types of distribution files.
1. A method of normalizing an audio level of multi-media content, the method comprising:
accessing closed captioning data that is related to the multi-media content;
determining one or more locations in the closed captioning data that correspond to one or more instances of spoken dialog in the multi-media content;
accessing an audio portion of the multi-media content;
locating the one or more instances of spoken dialog within the audio portion of the multi-media content based on the one or more locations in the closed captioning data related to the multi-media content; and
for each of the one or more instances of spoken dialog, detecting an actual sound level of the audio portion of the multi-media content based on the located one or more instances of spoken dialog; and
using the detected actual sound levels of the audio portion of the multi-media content to normalize the audio level of the multi-media content during normal playback.
2. The method of claim 1 , wherein locating the spoken dialog within the multi-media content is further based on matching a timestamp on the closed captioning data to a timestamp on the multi-media content.
3. The method of claim 1 , further comprising determining whether an indication of an audio level associated with the multi-media content matches the actual sound level of the audio portion of the multi-media content.
4. The method of claim 3 , wherein the indication of the audio level associated with the multi-media content comprises metadata within the multi-media content.
5. The method of claim 3 , further comprising, in response to determining that the indication of the audio level associated with the multi-media content does not match the actual sound level of the audio portion of the multi-media content, adjusting the actual sound level of the audio portion of the multi-media content.
6. The method of claim 3 , further comprising, in response to determining that the indication of the audio level associated with the multi-media content does not match the actual sound level of the audio portion of the multi-media content, adjusting the indication of the audio level associated with the multi-media.
7. The method of claim 3 , further comprising, in response to determining that the indication of the audio level associated with the multi-media content does not match the actual sound level of the audio portion of the multi-media content, determining whether to adjust the actual sound level of the audio portion of the multi-media content or the indication of the audio level associated with the multi-media.
8. The method of claim 7 , wherein determining whether to adjust the actual sound level of the audio portion of the multi-media content or the indication of the audio level associated with the multi-media is based at least in part on a set of business rules.
9. A non-transitory machine-readable medium having stored therein a series of instruction which, when executed by a processor, cause the processor to normalize an audio level of multi-media content by:
accessing closed captioning data that is related to the multi-media content;
determining one or more locations in the closed captioning data that correspond to one or more instances of spoken dialog in the multi-media content;
accessing an audio portion of the multi-media content;
locating the one or more instances of spoken dialog within the audio portion of the multi-media content based on the one or more locations in the closed captioning data related to the multi-media content; and
for each of the one or more instances of spoken dialog, detecting an actual sound level of the audio portion of the multi-media content based on the located one or more instances of spoken dialog; and
using the detected actual sound levels of the audio portion of the multi-media content to normalize the audio level of the multi-media content during normal playback.
10. The non-transitory machine readable medium of claim 9 , wherein locating the spoken dialog within the multi-media content is further based on matching a timestamp on the closed captioning data to a timestamp on the multi-media content.
11. A system comprising:
a processor; and
a memory communicatively coupled with and readable by the processor and having stored therein a series of instructions which, when executed by the processor, causes the processor to
access closed captioning data that is related to the multi-media content;
determine one or more locations in the closed captioning data that correspond to one or more instances of spoken dialog in the multi-media content;
access an audio portion of the multi-media content;
locate the one or more instances of spoken dialog within the audio portion of the multi-media content based on the one or more locations in the closed captioning data related to the multi-media content; and
for each of the one or more instances of spoken dialog, detect an actual sound level of the audio portion of the multi-media content based on the located one or more instances of spoken dialog; and
use the detected actual sound levels of the audio portion of the multi-media content to normalize the audio level of the multi-media content during normal playback.
12. The system of claim 11 , wherein locating the spoken dialog within the multi-media content is further based on matching a timestamp on the closed captioning data to a timestamp on the multi-media content.